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Record W4205667082 · doi:10.7202/1083577ar

Brest et son passé industriel : enfermement ou ouverture ?

2021· article· fr· W4205667082 on OpenAlexvenueno aff
Thierry Sauvin, Anne Choquet, Mélody Leplat, Roland de Penanros

Bibliographic record

VenueCanadian Journal of Regional Science · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Dans cet article, nous transposons l’approche évolutionniste, traditionnellement circonscrites aux firmes, à l’analyse d’un territoire pour appréhender sa dynamique et ses perspectives de diversification. Les concepts d’enfermement, de trajectoires et de contraintes de sentier nous paraissent particulièrement pertinents pour étudier l’inertie du pays de Brest (France) en matière de diversification des activités. Marqué par l’industrie de la Défense, le pays de Brest peine à concrétiser les projets de diversification vers des activités civiles. Nous avançons l’idée selon laquelle l’industrie de la défense, par sa singularité, est à l’origine d’empreintes territoriales et notamment cognitives expliquant en grande partie pourquoi les acteurs locaux demeurent réticents à l’égard de tout projet de diversification. Les résultats de deux enquêtes menées auprès de personnes ayant ou non travaillé dans l’industrie de la défense confirment la présence de ces empreintes territoriales mais révèlent également une acceptabilité croissante des brestois à l’égard de deux projets de diversification : la déconstruction de coques de navires et la conception et fabrication d’hydroliennes et d’éoliennes flottantes, soit deux activités qui inscriraient le pays de Brest dans la transition écologique.

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.889
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.004
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.098
GPT teacher head0.297
Teacher spread0.200 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2021
Admission routes1
Has abstractyes

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