“The Mad Russian”: Representations of Alexander Ovechkin and the Creation of Canadian National Identity
Bibliographic record
Abstract
The paper argues that the Canadian media’s representations of National Hockey League (NHL) player Alexander Ovechkin work to locate Canadian national identity through its contrasts with the hockey superstar. Even though the press celebrates Ovechkin as a challenge to Cold War understandings of Soviet hockey players as lacking passion and heart as well as physical play, they also present Ovechkin as a ‘dirty’ hockey player who is wild and out of control. By assessing reports from two Canadian national newspapers, the Globe and Mail and the National Post, from 2009 to 2012, and comparing these documents to reports on two Cold War hockey contests, the 1972 Summit Series and the 1987 World Junior Hockey Championships, this article demonstrates how the Canadian media’s paradoxical representations of Ovechkin break with and rearticulate Cold War understandings of Russian/Soviet athletes. Furthermore, when the press characterizes Ovechkin and other Russian hockey players as wild, unpredictable and out-of-control, they produce Canadian players as polite, disciplined and well-mannered. Through these opposing representations, the media helps to locate Canadian national hockey identity within a frame of appropriate masculine expression.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.033 | 0.022 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".