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Record W257455076 · doi:10.4000/aspd.110

De l’aide extérieure à la mobilisation des ressources locales

2007· article· fr· W257455076 on OpenAlexaff
Catherine Schümperli Younossian, Daniel Fino, Jean‐Michel Servet

Bibliographic record

VenueAnnuaire suisse de politique de développement · 2007
Typearticle
Languagefr
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Catherine Schümperli Younossian, directrice du comité de rédaction de l'Annuaire suisse de politique de développement, chargée de recherche et d'enseignement à l'Institut universitaire d'études du développement (IUED), Genève.Daniel Fino, chargé de cours et directeur adjoint à l'IUED.Jean-Michel Servet, professeur à l'IUED.Le comité de l'Annuaire tient à remercier chaleureusement Régis Avanthay, chef de la section des Affaires globales et du développement durable de la Direction du développement et de la coopération (DDC), pour les précieuses informations transmises lors de la conception initiale de ce dossier.Il n'est cependant aucunement lié au contenu de cette publication.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.073
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.005
Scholarly communication0.0060.004
Open science0.0010.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0330.005

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 head0.036
GPT teacher head0.353
Teacher spread0.317 · 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 designTheoretical or conceptual
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

Citations3
Published2007
Admission routes1
Has abstractyes

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