Gender, Sport & Nationalism: The Cases Of Canada And India
Bibliographic record
Abstract
This research seeks to explore the gendered nature of nationalisms and the ways that they can be challenged and perhaps transformed through the participation of women in sport at the national level. Nationalism is part of the public sphere, while women have historically been relegated to the private sphere. However, many scholars argue that women do in fact taken part in nation building primarily as biological reproducers of the nation. This has led scholars to conclude that nationalism is indeed gendered. Sport has traditionally been a masculine domain where conceptions of hegemonic masculinity as well as the nation are developed and reinforced. However within the last thirty years women's participation in sport, specifically at the national-elite level has risen dramatically. This research seeks to explore how women's increased participation in the nationalistic and masculine domain of sport will affect nationalism.\nTo discover how the increase in women's participation in national sport may or may not be affecting nationalism, two exploratory case studies were conducted focusing on the media coverage of the Summer and Winter Olympic Games between 1972 and 2008. The cases used in the analysis were Canada and India. For each case, a large, English-language, national daily newspaper was selected as a data source and the articles covering women athletes during the Olympic Games were collected, subjected to a basic form of content analysis and then categorized into one of three categories. Individual women athletes featured in the articles were also analyzed as well.\nThe findings of this study reveal that Indian and Canadian nationalism were affected by the increase in women's participation in sport. However, the study also demonstrates the ways in which media continues to feminize women athletes in order to make them socially acceptable. Despite this, the study reinforces the idea that sport remains a valuable space where women can challenge traditional gender ideals within a nationalisms.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.017 |
| Science and technology studies | 0.026 | 0.008 |
| Scholarly communication | 0.008 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".