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Record W2029422136 · doi:10.3167/aia.2010.170208

Culture, Identity, Difference

2010· article· en· W2029422136 on OpenAlexaff
Paul Basu, Simon Coleman

Bibliographic record

VenueAnthropology in Action · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIdentity (music)SociologyResource (disambiguation)Ethnic groupSpace (punctuation)AnthropologyPower (physics)Value (mathematics)Educational anthropologyPedagogySocial scienceMedia studiesAestheticsComputer scienceEthnography

Abstract

fetched live from OpenAlex

In its 2002-3 Strategic Review, the Royal Anthropological Institute reasserted the importance of the public communication of anthropology for the future of the discipline. Two significant venues for public engagement activity were identified: museums and pre-university education contexts. We present an account of the development and piloting of an anthropology teaching and learning resource that bridges these two arenas. Complementing efforts to introduce an anthropology A-Level, the Culture, Identity, Difference resource uses museum collections as a way of introducing anthropological perspectives on topics such as belief, ethnicity, gender and power to enhance students' studies across a range of different A-Level subjects. We reflect on some of the lessons learnt during the process, including the value of developing resources that can be used flexibly and creatively by teachers and students, and the need to approach the museum as a space of encounter, exploration and experimentation rather than as a didactic educational venue.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.005
Science and technology studies0.0040.021
Scholarly communication0.0130.011
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.058
GPT teacher head0.335
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2010
Admission routes1
Has abstractyes

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