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Record W3042624871 · doi:10.1163/25903276-bja10005

Anthropology from Dissonance to Ambiguity: Breaking the Deadlock

2020· article· en· W3042624871 on OpenAlexaff
Lynda Dematteo, Mariella Pandolfi

Bibliographic record

VenuePolitical anthropological research on international social sciences · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropology: Ethics, History, Culture
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPopulismAuthoritarianismSociologyNationalismCognitive dissonanceCensorshipDemocracyPolitical economyAestheticsMedia studiesPolitical scienceLawSocial psychologyPolitics

Abstract

fetched live from OpenAlex

The circumstances in which Shostakovich’s 13th symphony was composed must be a wake-up call and a source of inspiration for anthropologists today, at a time when nationalism in various forms is reasserting itself: internationalism should remain our horizon. As neoliberalism is unfolding all its illiberal potential, the freedom to choose one’s research subjects and to carry out field surveys must be actively defended. Authoritarian populism has exacerbated all identity claims and spread turmoil within the academy itself. Fear now fuels identity prejudices, censorship and self-censorship. We must confront this new fear collectively, prevent people from becoming trapped in a narrow vision and thus promote dialogue and the open exchange of ideas. The rise of the question of identity as a threat is a serious challenge for anthropologists and we must all focus on our various minoritized experiences to address this issue and to strengthen democratic pluralism, because becoming minor(itarian) is the best way to defeat populism. Anthropologists must all assume their subjectivities and release their creative potential to produce critical estrangement and confront all forms of conformism here and elsewhere.

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)0.021
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.023
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0130.087
Scholarly communication0.0130.017
Open science0.0020.016
Research integrity0.0050.012
Insufficient payload (model declined to judge)0.0060.001

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 head0.423
GPT teacher head0.571
Teacher spread0.148 · 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 designTheoretical or conceptual
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

Citations3
Published2020
Admission routes1
Has abstractyes

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