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Record W4240831427 · doi:10.4000/moussons.3307

Red Stamps and Gold Stars : Fieldwork Dilemmas in Upland Socialist Asia, Sarah Turner, éd.

2015· article· fr· W4240831427 on OpenAlexaboutno aff
Alice Vittrant

Bibliographic record

VenueMoussons · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicHistorical Geopolitical and Social Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsStarsGold coastSouth asiaArtGeographyAncient historyHistoryArchaeologyAstrophysicsPhysics

Abstract

fetched live from OpenAlex

Cet ouvrage est issu d’un atelier sur la recherche anthropologique et géographique en Asie du Sud-Est des hautes terres (upland Southeast Asia) ou « Zomia » (Southeast Asian Massif) (p. 6, p. 22), qui a eu lieu en 2011 à l’université de McGill, Montréal. Il aborde le terrain en sciences humaines et sociales d’un point de vue particulier, celui du chercheur étranger confronté aux réalités du terrain dans un pays socialiste d’Asie du Sud-Est, comme le rappelle le titre : « gold star » renvoie a...

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)0.009
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.052
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0140.021
Scholarly communication0.0080.014
Open science0.0020.004
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.042
GPT teacher head0.294
Teacher spread0.252 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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