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Écosystème des croisières internationales dans le fleuve Saint-Laurent

2023· article· fr· W4384133397 on OpenAlexaffabout
Charles Zinser, Laurent Bourdeau

Bibliographic record

VenueÉtudes caribéennes · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicCruise Tourism Development and Management
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsGeographyGeology

Abstract

fetched live from OpenAlex

Après l’arrêt de l’industrie des croisières provoqué par la pandémie, on assiste à une reprise significative des croisières internationales sur le fleuve Saint-Laurent. Le retour des croisières internationales s’inscrit dans un écosystème d’affaires où chacune des escales du fleuve Saint-Laurent possède un niveau de développement qui lui est propre, dans un cadre législatif et réglementaire complexe (législation internationale canadienne, québécoise, municipales) et dans un environnement composé de plusieurs acteurs. Ainsi, l’objectif de cet article vise à comprendre l’écosystème d’affaires des croisières internationales pour le marché du Saint-Laurent et d’identifier les organisations ayant les capacités décisionnelles en matière de croisières internationales.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.845
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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.036
GPT teacher head0.282
Teacher spread0.245 · 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 teacher head, not a consensus.

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
Published2023
Admission routes2
Has abstractyes

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