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Enregistrement W2040294832 · doi:10.5038/2162-4593.7.1.5

On Choosing a Fieldsite for Health Related Research

2003· article· en· W2040294832 sur OpenAlexaboutno aff
Anna Waldstein

Notice bibliographique

RevueJournal of Ecological Anthropology · 2003
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueEthnobotanical and Medicinal Plants Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésComputer sciencePsychology

Résumé

récupéré en direct d'OpenAlex

As anthropologists interested in applying our research to the improvement of health and quality of life, we often find ourselves in places rife with poverty, violence and environmental degradationnot to mention corruption, scandal and controversy. This can make our job not only heartbreaking, but difficult to carry out. This paper briefly addresses how the selection of a fieldsite for ethnographic research should be based on more than local health issues alone. Failure to make a careful consideration of broader factors that contribute to the focus of one's study can interfere with the success of research. I discuss two field experiences to illustrate this point. The first is research that I attempted to carry out in Chiapas, Mexico. The second example is from research conducted in Zimbabwe. Both projects involved traditional medicine and a great deal of controversy. Only one was successful. The ultimate goal of my work in Chiapas was to contribute to a more detailed picture of indigenous environmental knowledge by characterizing the relationship between Mayan perceptions of the medicinal plants they ingest and perceptions held by scientists who study these plants in a laboratory. More specifically, my research was designed to answer the question: Do the Tzeltal Maya share folk models of medicinal plant actions and do these models reflect the biological activities of compounds found in such plants? I planned to work in the Tzeltal community of Ch'ixaltontik, which is a tiny hamlet in the municipality of Tenejapa. The idea was to elicit folk models of medicinal action for a set of common medicinal plants that could be compared with the scientific literature. I was awarded a grant from the National Science Foundation to do this research. I also received some funding from the Maya International Collaborative Biodiversity Group (Maya ICBG)2 project to translate my findings into Tzeltal. Translating my data and results into Tzeltal would have helped the people of Ch'ixaltontik make claims to their intellectual property and give them leverage to determine what kind of medicinal plant research may take place in their community. The controversy in this case has to do with the politics of medicinal plant research in Highland Chiapas. Drs. Brent and Elois Ann Berlin and their students have studied Mayan medicinal plants in the region for over 20 years. Unfortunately, their most recent project-the Maya ICBG-caused a torrent of argument and misunderstanding. The Maya ICBG was supposed to be a five-year project that would study Maya ethnomedicine, inventory the flora of Highland Chiapas and screen common medicinal plants for biological activities. The project was also designed to develop sustainable, culturally appropriate income-generating opportunities for the Maya. Finally, it was intended to be a model for doing ethnobotanical drug discovery fairly. That is, with the explicit aim of sharing benefits equally with indigenous communities. The drug discovery portion of the project attracted the attention of human rights groups who assumed that because the project was funded by the American government it had to be another example of corporate interests out to exploit indigenous people. When the regional Mayan traditional healers association (known by the acronyms OMIECH and COMPITCH) publicly protested the Maya ICBG, activists from the United States and Canada (led by the now defunct Rural Advancement Foundation International) rushed to their aid. The healers, with the help and encouragement of these activists, accused the Maya ICBG of stealing their specialist medical knowledge. It did not seem to matter that the Berlins were interested in the medical knowledge of everyday people and had the unanimous support of numerous Mayan communities in the region. Neither the activists nor the healers cared that the researchers had convinced their corporate partner to give a quarter of all potential profits to the highland Maya and developed means to equitably distribute these profits throughout the region. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,121
score de la tête « metaresearch » (Gemma)0,051
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,121
Score d'incertitude au seuil0,642

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,1210,051
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0060,003
Études des sciences et des technologies0,0350,032
Communication savante0,0210,019
Science ouverte0,0030,014
Intégrité de la recherche0,0090,014
Charge utile insuffisante (le modèle a refusé de juger)0,0170,005

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,142
Tête enseignante GPT0,420
Écart entre enseignants0,278 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2003
Routes d'admission1
Résumé présentoui

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