MétaCan
Menu
Back to cohort
Record W1981024418 · doi:10.4000/asp.356

 L’envers du décor : le discours d’une firme transnationale d’équipement de loisirs. Le cas d’Intrawest

2008· article· fr· W1981024418 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueASp · 2008
Typearticle
Languagefr
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

À l’heure d’un accroissement constant des flux touristiques dans les pays industrialisés, cet article vise à analyser le discours marketing d’une firme transnationale nord-américaine d’équipement de loisirs, Intrawest, entreprise canadienne fondée en 1976. Son activité principale fut en premier lieu le développement immobilier ; elle est aujourd’hui une des entreprises dominantes dans le développement touristique, en particulier en montagne (dans des stations telles que Whistler-Blackcomb, Tremblant, Copper Mountain, Mammoth sur le territoire américain). Elle a également ouvert un village dans la station savoyarde des Arcs, baptisé Arc 1950. L’approche retenue pour cette analyse articule la langue, le discours et la culture et intègre la dimension esthétique. En effet, l’analyse du discours construit autour de réalisations architecturales, particulièrement en ce qui concerne l’architecture commerciale, peut révéler les grands principes qui gouvernent une société et sont reconnus par tous comme tels.

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)0.000
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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.577
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.020
GPT teacher head0.274
Teacher spread0.254 · 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