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Early Plant Learning in Fiji

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Abstract

Recent work with infants suggests that plant foraging throughout evolutionary history has shaped the design of the human mind. Infants in Germany and the US avoid touching plants and engage in more social looking toward adults before touching them. This combination of behavioral avoidance and social looking strategies enables safe and rapid social learning about plant properties within the first two years of life. Here, we explore how growing up in a context that requires frequent interaction with plants shapes children’s responses with the participation of communities in rural Fiji. We conducted two interviews with adults and a behavioral study with children. The adult interviews map the plant learning landscape in these communities and provide context for the child study. The child study used a time-to-touch paradigm to examine whether 6- to 48-month-olds (N = 33) in participating communities exhibit avoidance behaviors and social looking patterns that are similar to, or different from, those of German and American infants. Our adult interview results confirmed that knowledge about daily and medicinal uses of plants is widely known throughout the communities, and children are given many opportunities to informally learn about plants. The results of the child behavioral study suggest that young Fijian children, like German and American infants, are reluctant to reach for novel artificial plants and are fastest to interact with familiar household items and shells. In contrast to German and American infants, Fijian children also quickly reached for familiar real plants and did not engage in differential social looking before touching them. These results suggest that cultural contexts flexibly shape the development of plant-relevant cognitive design.

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Notes

  1. Behavioral avoidance is of course not the only strategy humans possess for mitigating plant dangers. Instead, behavioral avoidance operates alongside a variety of other mechanisms, including enzymatic detoxification pathways, conditioned taste aversions, and food neophobia (see Włodarczyk et al. 2018 for a more detailed discussion).

  2. See OSF pre-registration here: https://osf.io/ydbcj

  3. Adult caregiver interviews also include Likert-scale frequency data on events such as restrictions on access to plants and other objects, frequency of exposure to plants, and frequency of direct instruction about plants and other common objects. This frequency data is analyzed along with the results of the child behavioral study below. The full interview dataset can be found on the project OSF page (https://osf.io/6zsng/?view_only=f7040c52cebb4d279fa6adb3a941b8c6).

  4. See the project OSF page for the full study documentation (https://osf.io/6zsng/?view_only=f7040c52cebb4d279fa6adb3a941b8c6).

  5. Foot touch was added to the site-specific protocol. In rural Fijian households, people go around in bare feet most of the time and spend much of their time sitting and working on the floor, as it is considered rude to sit up on a chair unless one is of chiefly rank. Therefore, exploring their world with the feet and the hands is more typical for Fijian children than may be the case in settings with common use of elevated surfaces such as chairs and tables or with footwear.

  6. The majority of these rough vs. primary research assistant coding disagreements were caused by awkward camera angles (N = 10) or the child touching the pot rather than the plant (N = 16). For the “touches pot” trials, 14 were on artificial plant trials. This may indicate an extra layer of aversion to touching the artificial plants directly.

  7. Other studies using similar data have used log-transformed latency data to deal with nonnormality of residuals. These transforms do not substantially improve nonnormality in our data, so we retain the nontransformed data here.

  8. Touch latency data in this study showed nonnormal residuals. Although this is a less serious problem in hierarchical linear regression than in OLS, comparisons to transformed variables were also conducted. None of the transformed variables completely eliminated nonnormality of the residuals, and all corroborate the overall pattern of findings in the raw metric. For ease of interpretation, we report the raw metric here. See ESM S2 for models comparing the raw milliseconds metric with log-transformed, square-root-transformed, and robust heirarchical linear modelling results.

  9. Time duration data in this study showed nonnormal residuals (see the previous note for implications). See ESM S3.

References

  • Aporosa, S. A. (2019a). Kava, the Devil, and the Snake: Pentecostal iconoclasm in contemporary Fiji. Paper presented at the annual conference of the Association for Social Anthropology in Oceania (ASAO), Auckland, NZ.

  • Aporosa, S. A. (2019b). Kava and ethno-cultural identity in Oceania. In Ratuva S. (Eds.), The Palgrave Handbook of Ethnicity (Vol. 17). Singapore: Palgrave Macmillan. https://doi.org/10.1007/978-981-13-0242-8_134-1.

  • Baba, T. L., Boladuadua, E. L., Ba, T., Vatuloka, W. V., and Nabobo-Baba, U. (2013). Na Vuku ni Vanua—Wisdom of the land: Aspects of Fijian knowledge, culture and history (Vol. 1). Suva, Fiji: Native Academy Publishers, Institute of Indigenous Studies.

  • Barrett, H. C. (2015). The shape of thought: How mental adaptations evolve. Oxford: Oxford University Press.

    Book  Google Scholar 

  • Bartlett, C., Marshall, M., & Marshall, A. (2012). Two-eyed seeing and other lessons learned within a co-learning journey of bringing together indigenous and mainstream knowledges and ways of knowing. Journal of Environmental Studies and Sciences, 2(4), 331–340.

    Article  Google Scholar 

  • Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48.

    Article  Google Scholar 

  • Becker, A. E. (1995). Body, self, and society: The view from Fiji. Philadelphia: University of Pennsylvania Press.

    Google Scholar 

  • Begossi, A., Hanazaki, N., & Tamashiro, J. Y. (2002). Medicinal plants in the Atlantic Forest (Brazil): Knowledge, use, and conservation. Human Ecology, 30, 281–299.

    Article  Google Scholar 

  • Bernard, H. R. (2011). Interviewing III: Cultural domains. Research Methods in Anthropology (pp. 223–287). Lanham, MD: Rowman Altamira.

  • Berry, J. W. (1989). Imposed etics–emics–derived etics: The operationalization of a compelling idea. International Journal of Psychology, 24, 721–735.

    Article  Google Scholar 

  • Callaghan, T., Moll, H., Rakoczy, H., Warneken, F., Liszkowski, U., Behne, T., et al. (2011). Early social cognition in three cultural contexts. Monographs of the Society for Research in Child Development, 76(2), vii–viii, 1–142.

  • Chen, M. (2008). Inducible direct plant defense against insect herbivores: A review. Insect Science, 15(2), 101–114.

  • Clegg, J. M., & Legare, C. H. (2016). A cross-cultural comparison of children’s imitative flexibility. Developmental Psychology, 52(9), 1435–1444.

    Article  Google Scholar 

  • Datavyu Team. (2014). Datavyu: A video coding tool. Retrieved from http://datavyu.org

  • Elsner, C., & Wertz, A. E. (2019). The seeds of social learning: Infants exhibit more social looking for plants than other object types. Cognition, 183, 244–255.

    Article  Google Scholar 

  • Fürstenberg-Hägg, J., Zagrobelny, M., & Bak, S. (2013). Plant defense against insect herbivores. International Journal of Molecular Sciences, 14(5), 10242–10297.

    Article  Google Scholar 

  • Galibert, F., Quignon, P., Hitte, C., & André, C. (2011). Toward understanding dog evolutionary and domestication history. Comptes Rendus Biologies, 334(3), 190–196.

    Article  Google Scholar 

  • Gerdemann, S., & Wertz, A. E. (2021). 18-month-olds use different cues to categorize plants and artifacts. Evolution and Human Behavior. https://doi.org/10.1016/j.evolhumbehav.2020.12.003.

  • Gervais, M. M., & Fessler, D. (2017). On the deep structure of social affect: Attitudes, emotions, sentiments, and the case of “contempt”. Behavioral and Brain Sciences, 40, e225. https://doi.org/10.1017/s0140525x16000352.

    Article  Google Scholar 

  • Hardy, K., and Kubiak-Martens, L. (Eds.). (2016). Wild harvest: Plants in the hominin and pre-agrarian human worlds. Oxbow Books.

  • Henrich, J. (2015). Lost European explorers. In The secret of our success: How culture is driving human evolution, domesticating our species, and making us smarter (pp. 22–33). Princeton, NJ: Princeton University Press.

  • Henrich, J., Heine, S. J., & Norenzayan, A. (2010). The weirdest people in the world? Behavioral and Brain Sciences, 33(2–3), 61–83 83–135.

    Article  Google Scholar 

  • Hewlett, B. S. (2011). Social learning among Congo Basin hunter-gatherers. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 366(1567), 1168–1178.

    Article  Google Scholar 

  • Hewlett, B. S. (2016). Teaching in hunter-gatherer infancy. Royal Society Open Science, 3(1), 150403.

    Article  Google Scholar 

  • Heyes, C. (2019). Précis of cognitive gadgets: The cultural evolution of thinking. The Behavioral and Brain Sciences, 42, e169.

    Article  Google Scholar 

  • Hood Jr., W. B., Dans, A. L., Guyatt, G. H., Jaeschke, R., & McMurray, J. J. V. (2004). Digitalis for treatment of congestive heart failure in patients in sinus rhythm: A systematic review and meta-analysis. Journal of Cardiac Failure, 10(2), 155–164.

    Article  Google Scholar 

  • Kaplan, M. (2005). The Hau of other peoples’ gifts: Land owning and taking in turn-of-the-millennium Fiji. Ethnohistory, 52(1), 29–46.

    Article  Google Scholar 

  • Katz, R. (1999). The straight path of the spirit: Ancestral wisdom and healing traditions in Fiji. Rochester, VT: Park Street Press.

  • Kline, M. A. (2015). How to learn about teaching: An evolutionary framework for the study of teaching behavior in humans and other animals. Behavioral and Brain Sciences, 38, e31.

    Article  Google Scholar 

  • Kline, M. A. (2017). Teach: An ethogram-based method to observe and record teaching behavior. Field Methods, 29(3), 205–220.

    Article  Google Scholar 

  • Kline, M. A., Shamsudheen, R., and Broesch, T. (2018). Variation is the universal: Making cultural evolution work in developmental psychology. Philosophical Transactions of the Royal Society B, 373(1743), 20170059.

  • Kuznetsova, A., Brockhoff, P. B., and Christensen, R. H. B. (2014, July 14). “lmerTest.” CRAN. Retrieved from http://cran.r-project.org/web/packages/lmerTest/index.html

  • Lancy, D. F., & Grove, M. A. (2010). The role of adults in children’s learning. In D. F. Lancy, J. C. Bock, & S. Gaskins (Eds.), The anthropology of learning in childhood (pp. 145–180). Lanham: AltaMira Press.

    Google Scholar 

  • Lancy, D. F., Bock, J. C., & Gaskins, S. (Eds.). (2010). The anthropology of learning in childhood. Lanham: AltaMira Press.

    Google Scholar 

  • McNamara, R. A., & Henrich, J. (2017a). Jesus vs. the ancestors: How specific religious beliefs shape prosociality on Yasawa Island, Fiji. Religion, Brain and Behavior, 39(2), 185–204.

    Article  Google Scholar 

  • McNamara, R. A., & Henrich, J. (2017b). Kin and kinship psychology both influence cooperative coordination in Yasawa, Fiji. Evolution and Human Behavior, 38(2), 197–207.

    Article  Google Scholar 

  • McNamara, R. A., & Naepi, S. (2018). Decolonizing community psychology by supporting indigenous knowledge, projects, and students: Lessons from Aotearoa New Zealand and Canada. American Journal of Community Psychology, 62, 340–349.

    Article  Google Scholar 

  • McNamara, R. A., Willard, A. K., Norenzayan, A., & Henrich, J. (2019). Weighing outcome vs. intent across societies: How cultural models of mind shape moral reasoning. Cognition, 182, 95–108.

    Article  Google Scholar 

  • Mila-Schaaf, K. (2006). Va-centred social work: Possibilities for a Pacific approach to social work practice. Social Work Review, 18, 8–13.

    Google Scholar 

  • Mithöfer, A., & Boland, W. (2012). Plant defense against herbivores: Chemical aspects. Annual Review of Plant Biology, 63(1), 431–450.

    Article  Google Scholar 

  • Nielsen, M., Haun, D., Kärtner, J., & Legare, C. H. (2017). The persistent sampling bias in developmental psychology: A call to action. Journal of Experimental Child Psychology, 162, 31–38.

    Article  Google Scholar 

  • Norenzayan, A., & Heine, S. J. (2005). Psychological universals: What are they and how can we know? Psychological Bulletin, 131(5), 763–784.

    Article  Google Scholar 

  • Oña, L., Oña, L. S., & Wertz, A. E. (2019). The evolution of plant social learning through error minimization. Evolution and Human Behavior, 40, 447–456.

    Article  Google Scholar 

  • Palo, R. T., & Robbins, C. T. (1991). Plant defenses against mammalian herbivory. CRC Press.

  • Peña, E. D. (2007). Lost in translation: Methodological considerations in cross-cultural research. Child Development, 78(4), 1255–1264.

    Article  Google Scholar 

  • Placek, C. D., Madhivanan, P., & Hagen, E. H. (2017). Innate food aversions and culturally transmitted food taboos in pregnant women in rural Southwest India: Separate systems to protect the fetus? Evolution and Human Behavior, 38(6), 714–728.

    Article  Google Scholar 

  • Purzycki, B. G., & Jamieson-Lane, A. (2016). AnthroTools: An R package for cross-cultural ethnographic data analysis. Cross-Cultural Research, 51, 51–74.

    Article  Google Scholar 

  • R Development Core Team. (2008). R: A language and environment for statistical computing. Vienna, Austria. Retrieved from http://www.R-project.org

  • Rad, M. S., Martingano, A. J., & Ginges, J. (2018). Toward a psychology of Homo sapiens: Making psychological science more representative of the human population. Proceedings of the National Academy of Sciences of the United States of America, 115(45), 11401–11405.

    Article  Google Scholar 

  • Romney, A. K., Weller, S. C., & Batchelder, W. H. (1986). Culture as consensus: A theory of culture and informant accuracy. American Anthropologist, 88(2), 313–338.

    Article  Google Scholar 

  • Ryle, J. (2010). My god, my land: Interwoven paths of Christianity and tradition in Fiji. Burlington: Ashgate.

    Google Scholar 

  • Scalise Sugiyama, M., Mendoza, M., & Quiroz, I. (2020). Ethnobotanical knowledge encoded in Weenhayek oral tradition. Journal of Ethnobiology, 40(1), 39–55.

    Article  Google Scholar 

  • Schmitow, C., & Stenberg, G. (2013). Social referencing in 10-month-old infants. European Journal of Developmental Psychology, 10(5), 533–545.

    Article  Google Scholar 

  • Shaver, J. H. (2015). The evolution of stratification in Fijian ritual participation. Religion, Brain and Behavior, 5(2), 101–117.

    Article  Google Scholar 

  • Silk, J. B. (1980). Adoption and kinship in Oceania. American Anthropologist, 82(4), 799–820.

    Article  Google Scholar 

  • Smith, J. J. (2016). Using ANTHOPAC 3.5 and a spreadsheet to compute a free-list salience index. CAM (Cultural Anthropology Methods), 5(3), 1–3.

    Google Scholar 

  • Smith, J. J., & Borgatti, S. P. (1997). Salience counts—And so does accuracy: Correcting and updating a measure for free-list-item salience. Journal of Linguistic Anthropology, 7(2), 208–209.

    Article  Google Scholar 

  • Smith, J. J., Furbee, L., Maynard, K., Quick, S., & Ross, L. (1995). Salience counts: A domain analysis of English color terms. Journal of Linguistic Anthropology, 5(2), 203–216.

    Article  Google Scholar 

  • Tomlinson, M. (2004). Perpetual lament: Kava-drinking, Christianity and sensations of historical decline in Fiji. Journal of the Royal Anthropological Institute, 10(3), 653–673.

    Article  Google Scholar 

  • Tooby, J., & Cosmides, L. (1992). The psychological foundations of culture. In J. Barkow, L. Cosmides, & J. Tooby (Eds.), The adapted mind (pp. 19–136). New York: Oxford University Press.

    Google Scholar 

  • Toren, C. (1990). Making sense of hierarchy: Cognition as social process in Fiji. Routledge.

  • Toren, C., & Pauwels, S. (Eds.). (2015). Living kinship in the Pacific. New York: Berghahn.

    Google Scholar 

  • Tremblay, A., and Ransijn, J. (2015). LMERConvenienceFunctions. Retrieved from cran.R-project.org.

  • Triandis, H. C., & Marin, G. (1983). Etic plus emic versus pseudoetic: A test of a basic assumption of contemporary cross-cultural psychology. Journal of Cross-Cultural Psychology, 14(4), 489–500.

    Article  Google Scholar 

  • Wertz, A. E. (2019). How plants shape the mind. Trends in Cognitive Sciences, 23(7), 528–531.

    Article  Google Scholar 

  • Wertz, A. E., & Wynn, K. (2014a). Selective social learning of plant edibility in 6- and 18-month-old infants. Psychological Science, 25(4), 874–882.

    Article  Google Scholar 

  • Wertz, A. E., & Wynn, K. (2014b). Thyme to touch: Infants possess strategies that protect them from dangers posed by plants. Cognition, 130(1), 44–49.

    Article  Google Scholar 

  • Wertz, A. E., & Wynn, K. (2019). Can I eat that too? 18-month-olds generalize social information about edibility to similar looking plants. Appetite, 138, 127–135.

    Article  Google Scholar 

  • Withering, W. (1785). An account of the foxglove and some of its medical uses. Available at http://www.gutenberg.org/ebooks/24886.

  • Włodarczyk, A., Elsner, C., Schmitterer, A., & Wertz, A. E. (2018). Every rose has its thorn: Infants’ responses to pointed shapes in naturalistic contexts. Evolution and Human Behavior, 39, 583–593.

    Article  Google Scholar 

  • Włodarczyk, A., Rioux, C., & Wertz, A. E. (2020). Social information reduces infants’ avoidance of plants. Cognitive Development, 54, 100867.

    Article  Google Scholar 

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Acknowledgments

The authors would like to thank Elimi Uluikadavu for his tireless work in assisting data collection in this study. We thank J. Enright and the members of the Naturalistic Social Cognition Research Group, especially D. Tatlow-Devally and S. Akkaya-Hielscher, for their help preparing the stimuli and coding the video data. Most importantly, we extend our deepest gratitude to the Uluikadavu family and the village of Nasegai, Kadavu, Fiji, for their kind hospitality and all the participating villages for their enthusiastic participation with our research. Vinaka sera vakalevu.

This research was supported by a Royal Society of New Zealand Marsden Fast-Start grant to R. A. McNamara and funding from the Max Planck Society to A. E. Wertz.

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McNamara, R.A., Wertz, A.E. Early Plant Learning in Fiji. Hum Nat 32, 115–149 (2021). https://doi.org/10.1007/s12110-021-09389-6

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