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Record W2043562519 · doi:10.1177/1527002504268614

The Economic Impact of Professional Teams on Monthly Hotel Occupancy Rates of Canadian Cities

2005· article· en· W2043562519 on OpenAlex
Marc Lavoie, Gabriel Rodrı́guez

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Sports Economics · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsOccupancyTourismVariable (mathematics)MarketingEconomic impact analysisEconomicsBusinessDemographic economicsAdvertisingGeographyEngineeringMicroeconomics

Abstract

fetched live from OpenAlex

This article presents another attempt at finding the favorable economic effects claimed by sports team owners and boosters. The article has four peculiarities. First, no attempt is made to build a model explaining the targeted dependent variable; rather, a modified Box-Jenkins procedure is used. Second, the targeted variable, the hotel occupancy rates, is specific to the tourism industry. Third, our estimations are based on monthly data over a period of 10 years. Last, the study deals with Canadian rather than American cities. Overall results are somewhat ambiguous, but there does seem to be some evidence that the hockey lock-out of 1994-1995 did have a negative impact on hotel occupancy rates.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.311
Teacher spread0.290 · 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