MétaCan
Menu
Back to cohort
Record W4240549709 · doi:10.4000/rsa.214

Small Mario Luis, Unanticipated Gains. Origins of Network Inequality in Everyday Life

2010· article· en· W4240549709 on OpenAlexaff
Xavier Leloup

Bibliographic record

VenueRecherches sociologiques et anthropologiques · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsInequalityEveryday lifeSociologyArtPhilosophyEpistemologyMathematics

Abstract

fetched live from OpenAlex

La sociologie américaine, dont celle qui s’intéresse à l’urbain, a fait des réseaux sociaux une des variables importantes pour expliquer les inégalités sociales. Par la mise en relation de phénomènes tels que la recherche d’emploi, l’accès au logement ou la réussite scolaire avec la taille et la composition des réseaux sociaux, il a ainsi été démontré que le capital social individuel jouait un rôle majeur dans la production et la reproduction des inégalités. Il reste que peu de travaux s’int...

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)0.000
metaresearch head score (Gemma)0.001
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 score0.111
Threshold uncertainty score0.220

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0190.001

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 head0.313
GPT teacher head0.466
Teacher spread0.153 · 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
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueRecherches sociologiques et anthropologiquesSame topicPolitical Economy and MarxismFrench-language works237,207