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Record W3037147274 · doi:10.3167/aia.2020.270102

Whose Reality Counts?

2020· article· en· W3037147274 on OpenAlexaff
Reddi Sekhara Yalamala

Bibliographic record

VenueAnthropology in Action · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCasteStatus quoSociologyRelation (database)Gender studiesSocial changePolitical scienceSocial scienceLaw

Abstract

fetched live from OpenAlex

The low caste, Dalit and Tribal social movements in India have reconfigured the fabric of Indian society in significant ways over the past decade. Likewise, the movement of these same groups into anthropology, a discipline previously dominated in India by uppercaste intellectuals, has created a dynamic force for change in the academy. At a time when India is vying with the global economic powers for supremacy, the people severely affected are low caste, Dalits and Tribal peoples, who see their lands being lost and their lifestyles in rapid transformation. Some from these same groups are also witnessing some of their daughters and sons pursuing higher studies and entering into the social sciences. The entry of these young scholars not only challenges the caste-based status quo in the academy, but it also forces these scholars to question their own position in relation to these social movements and in relation to Indian society more broadly.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.921
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.155
GPT teacher head0.433
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 teacher head, not a consensus.

Study designNot applicable
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

Citations1
Published2020
Admission routes1
Has abstractyes

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