Notice bibliographique
Résumé
I was wrongAnthropologists like to tell stories about how they were wrong.These stories are part of our collective identity.Consider Briggs's (1970) classic ethnography, Never in Anger.Briggs tells a story about doing fieldwork in Nunavut (then the Canadian Northwest Territories) in the early 1960s.She showed anger on behalf of the Inuit group she was living with when they were wronged by a white outsider.To her surprise, her Inuit interlocutors reacted by ostracizing her for months.She describes feeling devastated, lonely, and depressed, but in slowly working her way back to personhood with her Inuit participants, she learned in a powerfully embodied fashion a core principle of their culture: that adults never show anger or make demands, and that to lose one's temper is to demonstrate a dangerous lack of control, even insanity.She documents how this emotional control is inculcated in children from a very young age.Thus her awful moment of social failure is transformed into a profound reflection on affect and socialization in Nunavut culture.The resulting ethnography became one of that era's most famous.Even when our failures and mistakes are less obvious than Briggs's and don't threaten to derail our research projects, many ethnographic writings reflect on moments when the author realized they had brought a bad assumption into the field with them and, as a result, learned something from their research participants-something that shifted their methodological or theoretical approach, or changed what they were studying.These stories are particularly prevalent among graduate students returning from their first fieldwork experiences.The stories go something like this: I went to the field planning to study x, and when I was in the field, I listened to my interlocutors and realized that what I really needed to study was y.For example, in her book Food, Sex and Pollution, Meigs (1984) writes about going to the field intending to study divorce, but when she gets there, everyone seems bored and uninterested when she asks about the topic.Instead, they want to talk to her about sex, gender, and the pollution rules that govern what they can and can't eat.It's such a collective concern that she describes their interest in the topic as a "religion."Responding to this, she changes her research topic and commits to addressing her research participants' interests, letting them chart the direction of her work.Briggs tells a similar story: she goes to the Inuit planning to study shamanism, but when she arrives, she finds that the small group she is living with have converted to Christianity and don't want to discuss their "pagan" past.That, combined with her attempts to process the social ostracism caused by her 44
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,029 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,008 | 0,004 |
| Science ouverte | 0,004 | 0,003 |
| Intégrité de la recherche | 0,006 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,413 | 0,280 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».