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Record W7057950960

La place des femmes dans le secteur de l'innovation à impact sur le territoire de la métropole Aix-Marseille-Provence

2023· dissertation· fr· W7057950960 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHAL AMU · 2023
Typedissertation
Languagefr
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsPower (physics)Context (archaeology)CommissionFace (sociological concept)
DOInot available

Abstract

fetched live from OpenAlex

L’innovation fait partie de notre ADN et de nos atouts. Nous sommes une jeune métropole, qui doit relever de grands défis environnementaux, économiques et sociaux. Pour faire face à ces enjeux d’avenir, nous n’avons d’autres choix que d’innover ! » déclare Didier Parakian, vice-président délégué aux Fonds européens et aux Relations internationales, après la victoire du prestigieux label iCapital 2022 par la Métropole Aix-Marseille-Provence. Ce titre est décerné chaque année par la Commission européenne à une métropole ou une ville d'au moins 50 000 habitants pour l’animation de son écosystème d’innovation et pour ses actions au sein de ce dernier.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.680
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.019
GPT teacher head0.302
Teacher spread0.283 · 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