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Record W4386004176 · doi:10.26522/jess.v8i.4352

Ontarians’ perceptions of “Hockey English”

2023· article· en· W4386004176 on OpenAlexaffvenueabout
Julie Dallinges

Bibliographic record

VenueJournal of Emerging Sport Studies · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsIce hockeyConversationPerceptionContext (archaeology)PsychologyNational identityLinguisticsSocial psychologyPolitical scienceGeographyCommunicationMedicine

Abstract

fetched live from OpenAlex

This article focuses on how Hockey English (HE) is perceived and represented by Ontarians. It is based on a three-part online survey which was completed by a total of 249 respondents. Interest in this community of practice emanates from the strong link between Canadian identity and hockey, as hockey has been Canada’s official national winter sport since 1994. This study finds that, in the popular imagination of Ontarians, there exists a particular form of Canadian English (CE), spoken among ice hockey players that respondents describe in terms of lexical features and associate with a lack of education and with rurality. According to them, use of this speech is not restricted to the context of hockey; rather, it can be heard in everyday conversation as well. The findings highlight that more than 50% of the respondents perceive no gender differences in HE. Despite the perceived differences between CE and HE, some participants report that “sounding Canadian” is a way to identify speakers of HE.

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)0.001
metaresearch head score (Gemma)0.005
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: Empirical
Teacher disagreement score0.781
Threshold uncertainty score0.434

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.003
Scholarly communication0.0050.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.044
GPT teacher head0.326
Teacher spread0.282 · 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

Citations0
Published2023
Admission routes3
Has abstractyes

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