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Too Much Nostalgia? A Decennial Reflection on the Heritage Classic Ice Hockey Event

2014· article· en· W2048666087 on OpenAlexaboutno aff
Gregory Ramshaw

Bibliographic record

VenueEvent Management · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsIce hockeyLeagueEvent (particle physics)Event managementClubTourismFranchiseAdvertisingHeritage tourismMass gatheringHistoryPolitical sciencePublic relationsMarketingBusinessTourism geography

Abstract

fetched live from OpenAlex

This research note explores the legacy of the Heritage Classic, an outdoor ice hockey event held in Edmonton, Canada in November 2003. The event explicitly and successfully evoked nostalgia for former players, past teams, rural environments, and the egalitarian nature of childhood games, becoming a major international media and tourism event as well as the template for numerous outdoor ice hockey events held around the world. It also provided the Edmonton Oilers hockey club and the event's organizers with both emotional and economic capital at a time when the franchise required support. However, the success of the Heritage Classic meant that the National Hockey League (NHL) and other hockey leagues would organize subsequent outdoor hockey events, thereby minimizing the ability for individual franchises to benefit from their heritage as the Oilers did. Furthermore, little was done locally to build on the success of the Heritage Classic, while the proliferation of similar events globally may have minimized both the media and tourism impacts of subsequent outdoor hockey games.

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)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.119
Threshold uncertainty score0.237

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0260.022
Scholarly communication0.0120.007
Open science0.0020.007
Research integrity0.0050.014
Insufficient payload (model declined to judge)0.0040.000

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 head0.034
GPT teacher head0.323
Teacher spread0.289 · 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 designQualitative
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

Citations5
Published2014
Admission routes1
Has abstractyes

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