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Record W4303431361 · doi:10.7202/1091316ar

Citoyens, clients ou quémandeurs ?

2022· article· fr· W4303431361 on OpenAlexaffvenue
John Harriss, Anne-Hélène Kerbiriou

Bibliographic record

VenueAnthropologie et Sociétés · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicAfrican Studies and Ethnography
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

La Constitution de l’Inde promettait de transformer la société hiérarchique en instaurant une communauté civique d’égaux. Les études anthropologiques montrent cependant que le statut de la citoyenneté en Inde et le faisceau de droits qui lui sont associés constituent le terrain de formulation de revendications et de contestations quotidiennes. Sur ce terrain, l’intermédiation est très importante, en partie à cause du pouvoir infrastructurel relativement limité de l’État et de son échec à assurer l’alphabétisation et l’éducation minimale de la population. Le fait que les « citoyens » doivent négocier avec l’État et la façon dont pour cela ils ont fréquemment besoin d’intermédiaires ont pour conséquence la création d’une hiérarchie de citoyens (ou plus exactement de citoyens, de clients et de quémandeurs) au lieu de la citoyenneté égale pour tous que promettait la Constitution.

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)0.002
metaresearch head score (Gemma)0.003
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: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.009
Scholarly communication0.0070.006
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0140.001

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 head0.251
GPT teacher head0.559
Teacher spread0.308 · 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

Citations1
Published2022
Admission routes2
Has abstractyes

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