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Record W6918191553 · doi:10.58079/wfn

Tourisme, identité, attractivité

2016· other· fr· W6918191553 on OpenAlexaboutno aff

Bibliographic record

VenueOpenEdition (OpenEdition) · 2016
Typeother
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPublicsTourismPublic space

Abstract

fetched live from OpenAlex

Cette conférence interroge deux formes distinctes d'attrait pour une localité touristique. Une première forme relève de la reconnaissance institutionnelle de la valeur patrimoniale d'un territoire donné. L'attribution d'une récompense symbolique, d'un label ou d'une certification peut accroître l'intérêt du public et ainsi susciter une augmentation de la fréquentation du site distingué. L'exemple de l'inscription du Vieux-Québec sur la liste du patrimoine mondial de l'humanité sera ici mobilisé. Il s'agira notamment de regarder de plus près la façon dont les responsables publics locaux se sont emparés de ce signe distinctif dans le cadre de la mise en œuvre de leur politique d'accueil touristique. Une seconde forme d'attrait touristique sera également évoquée. Cette dernière repose sur des ressorts plus intimes qui font du lieu visité un espace de mémoire travaillé par le souvenir encore vif du parcours des générations passées. On parle au sujet de cette expérience éminemment identitaire de « tourisme généalogique ».

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.148
Threshold uncertainty score0.295

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.004
Scholarly communication0.0080.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0320.002

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 head0.017
GPT teacher head0.265
Teacher spread0.247 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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