MétaCan
Menu
Back to cohort

Bilan de la libre circulation des personnes en Afrique

2017· article· fr· W2945124746 on OpenAlexvenueno aff
James Mouangué Kobila

Bibliographic record

VenueInterventions économiques · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicMigration, Identity, and Health
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceCirculation (fluid dynamics)HumanitiesGeographyArtEngineering

Abstract

La SADC offre le meilleur exemple de la libre circulation en Afrique. La libre circulation des personnes (et leur libre établissement) participe des domaines clés de l’intégration économique, à côté de la libre circulation des marchandises, des capitaux, des services. On y inclut également la promotion commune des investissements, les communications, la construction d’infrastructures routières et ferroviaires, la convergence macroéconomique, la gestion commune de l’agriculture et la sécurité ...

Stored with the screening record, where it is evidence for the labels above.

How this classification was reachedexpand

The three-model screen

all 5,600 screened works →

All three models called this out of scope.

stratum: french · design weight: 1554.47 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: conceptual
about Canada: no
confidence: high

Assessment of free movement of persons in African economic integration; a policy question in its own domain, not research policy.

GPT-5.6 (high)OUT
genre: conceptual
about Canada: no
confidence: high

This analyzes migration and economic integration policy in Africa, not research practice.

Grok 4.5OUT
genre: policy
about Canada: no
confidence: high

Policy analysis of free movement of persons in African regional integration; not research systems.

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)0.003
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.002
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0340.003

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 head0.085
GPT teacher head0.390
Teacher spread0.306 · 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 designObservational
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

Explore more

Same venueInterventions économiquesSame topicMigration, Identity, and HealthFrench-language works237,207