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Record W4205728268 · doi:10.1123/cssm.2020-0022

One Nation, Two Teams: Repositioning the Toronto Blue Jays Among the Threat of a New Entrant

2021· article· en· W4205728268 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.

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

VenueCase Studies in Sport Management · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsBrock University
Fundersnot available
KeywordsLeagueMarketingFace (sociological concept)AdvertisingIdentity (music)BusinessPublic relationsSociologyPolitical scienceAestheticsSocial science

Abstract

fetched live from OpenAlex

While many teams face difficult decisions regarding their branding, this case emphasizes how external factors can dictate marketing strategies. The Montreal Expos returning to Major League Baseball poses many threats and opportunities for the Toronto Blue Jays. As a result, the Blue Jays must reconsider their use of national identity in their branding—and whether it is appropriate to transition from being Canada’s only team to now sharing the market with the Expos. Nevertheless, the Expos’ return to Major League Baseball provides the Blue Jays with an opportunity to explore new marketing strategies. Case participants are tasked with repositioning the Blue Jays’ marketing strategy in response to the Expos’ return.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score0.988

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 studies0.0010.000
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 head0.044
GPT teacher head0.335
Teacher spread0.291 · 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