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Record W3170757680

Power, Anthropological Approaches to

2017· article· en· W3170757680 on OpenAlexaff
Ronald Niezen

Bibliographic record

VenueSSRN Electronic Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropology: Ethics, History, Culture
Canadian institutionsMcGill University
Fundersnot available
KeywordsGovernmentalityHegemonyPower (physics)EpistemologySociologyEthnographyGenerative grammarScope (computer science)State (computer science)Social scienceAnthropologyPolitical scienceLawPhilosophyPolitics
DOInot available

Abstract

fetched live from OpenAlex

Anthropology differs from other disciplines in the extent to which it emphasizes the indirect and concealed manifestations of power, understood in its simplest terms as the ability to influence the decisions and behavior of others. Power is also commonly understood as influence that is generative of dominant ideas and institutional structures rather than narrowly repressive. A sharp break from ethnographies that were concerned with sources of power in the absence of the state took place in the 1970s as many anthropologists took positions of postcolonial critique. Under these circumstances, anthropology then turned to such concepts as hegemony (Gramsci), cultural capital (Bourdieu), and power-knowledge and governmentality (Foucault) in efforts to come to grips with the ways that power manifests itself through knowledge and everyday practice as much as through more recognizable institutional forms. Expansion of the scope of ethnography is currently producing more refinement of the methods and concepts for identification of its forms and realms of influence.

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)0.008
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.004
Science and technology studies0.0060.067
Scholarly communication0.0110.012
Open science0.0020.006
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0050.001

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 head0.122
GPT teacher head0.371
Teacher spread0.249 · 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 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

Citations0
Published2017
Admission routes1
Has abstractyes

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