Bourdieu’s Uneven Influence on Anglophone Canadian Sociology
Bibliographic record
Abstract
Pierre Bourdieu is one of the most influential and widely cited figures in anglophone Canadian sociology. Since the first decade of the twenty-first century, in particular, his theories have guided research in areas such as the sociology of culture, education, social theory, social networks, and social capital. This chapter presents a content analysis of journal articles to better understand Bourdieu’s influence on anglophone Canadian sociology. Many citations to Bourdieu are ritualistic and occasionally are characterized by misreadings. Furthermore, interpretations and applications of Bourdieu’s ideas have been limited by a methodological division of labor. Quantitative research has primarily been concerned with cultural and social capital, with qualitative and historical research placing more emphasis on habitus and fields. The authors suggest several ways to expand the engagement with Bourdieu’s work, and to move beyond the current methodological division of labor.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.019 | 0.023 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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".