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Record W2765448500 · doi:10.7202/1041219ar

Acteurs et dynamiques de projet dans l’histoire d’une impossible reconversion de territoire. Abondance, petite station de sports d’hiver dans les Alpes du Nord

2017· article· fr· W2765448500 on OpenAlexvenueno aff
André Suchet

Bibliographic record

VenueCahiers de géographie du Québec · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceGeographyArt

Abstract

fetched live from OpenAlex

Le village-station d’Abondance, dans les Alpes françaises du Nord, décide au printemps 2007 la fermeture définitive du domaine skiable en difficulté économique pour se reconvertir en destination de tourisme culturel autour de son patrimoine gothique. Mais cette « nouvelle donne » suscite localement un vif rejet et, à la suite de multiples retournements de situation, les remontées mécaniques sont remises en état, tandis que les projets de tourisme culturel sont abandonnés. Presque 10 ans après cette affaire médiatisée, notre étude analyse socialement, historiquement et politiquement (à partir d’une méthode qualitative de terrain) le système d’acteurs et les enjeux de cette non-reconversion ou, plutôt, de cette continuité des activités de sports d’hiver en moyenne montagne à l’échelle locale. Les résultats mettent en évidence les ressorts de la construction d’un attachement territorial à une économie particulière, en l’occurrence les sports d’hiver. Un attachement motivé notamment par un rapport de classe entre le monde agricole (peu favorable aux sports d’hiver et en perte de vitesse) et le secteur du tourisme, dont l’histoire de vie des acteurs montre la revanche sociale que constitue pour eux cette économie du loisir.

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.955
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0050.006
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.011
GPT teacher head0.232
Teacher spread0.221 · 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 designQualitative
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

Citations5
Published2017
Admission routes1
Has abstractyes

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