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Record W4246928207 · doi:10.22582/ta.v6i0.430

Growing Under an Acacia Tree: An Open Letter on How to Raise an Anthropologist

2016· article· en· W4246928207 on OpenAlex
Kelsey Timler, Sheina Lew‐Levy

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTeaching Anthropology · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEthnographySensibilityField (mathematics)CurriculumSociologyPerspective (graphical)Face (sociological concept)PedagogyWork (physics)AnthropologySocial scienceVisual artsEngineeringPolitical scienceArt

Abstract

fetched live from OpenAlex

Although fieldwork is foundational to socio-cultural anthropology, field methods are rarely incorporated into undergraduate classroom curricula. Drawing on experiences from a semester-long field school in East Africa, we provide a student’s perspective on the importance of fieldwork. We argue that bringing the field into the classroom will work to enrich students’ theoretical understanding, enhance practical skills within and beyond anthropology, and foster an appreciation for cultural difference. We outline concrete ways in which field methods can be integrated into classroom settings. Finally, we argue that providing access to field methods outside field school settings may work to reduce the economic barriers that students face, and enhance their ability to cultivate an 'ethnographic sensibility'.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.712
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.004
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.205
GPT teacher head0.483
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it