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Record W2787125008 · doi:10.3917/reru.181.0061

Une analyse comparative des économies des Dom à travers les matrices de comptabilité sociale

2018· article· fr· W2787125008 on OpenAlexaff
Sébastien Mathouraparsad, Bernard Decaluwé

Bibliographic record

VenueRevue d’Économie Régionale & Urbaine · 2018
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicAgriculture and Rural Development Research
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Les matrices de comptabilité sociale ( Mcs ) décrivent, dans un cadre macroéconomique cohérent, la structure des quatre économies insulaires. Elles intègrent un tableau des entrées intermédiaires pour une vingtaine de secteurs, une balance des paiements et les principaux flux économiques entre les Dom , les régions avoisinantes (Caraïbe pour la Guadeloupe, la Martinique et la Guyane et océan Indien pour La Réunion), l’Union Européenne (y compris la France métropolitaine) et le reste du monde. Cette présentation permet une lecture immédiate des principaux agrégats macroéconomiques et leurs relations mutuelles. Nous présentons d’une part la méthodologie de construction des Mcs et d’autre part une analyse comparative chiffrée des économies d’outre-mer au travers des comptes économiques. Nous concluons notre analyse par une représentation graphique des territoires à l’aide d’une analyse en composantes principales qui laisse apparaître une certaine similarité entre les Antilles, quelques différences avec la Guyane et une distinction plus marquée de l’économie réunionnaise.

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)0.001
metaresearch head score (Gemma)0.005
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: none
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.056
GPT teacher head0.274
Teacher spread0.219 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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