Canadian public space, racialized minorities and the media : exploring coverage of Dr. Sunera Thobani's October 1st, 2001 speech
Bibliographic record
Abstract
Current literature conceptualizes public space in a static way.Processes of contraction and expansion, however, operate within public space simultaneously."Contraction" refers to fewer accessible avenues of discourse and dissent within and around mainstream public space.In other words, contraction focuses on the ways in which public space becomes exclusionary."Expansion" refers to the resistance to such exclusion and the efforts that are made to increase the inclusivity of public space.In particular, this thesis focuses on the media as a public space, paying particular attention to print media coverage of University of British Columbia Professor Sunera Thobani's October I", 2001 speech at the Women's Resistance Conference in Ottawa, Ontario.A discourse analysis was performed on articles published in The Globe and Mail, The Vancouver Sun, The Province, and two alternative media sources, Rabb1e.c~ and The Independent Media Center, between September 1 lth, 2001 and October lSh, 2001.Articles that were published between September 1 lth, 2001 and October I", 2001 are used to contextualize the coverage of Thobani's speech.The analysis revealed several factors within mainstream print media that contribute to the contraction of public space.The most significant finding is the way in which immigrant people of colour are socially constructed within newsprint coverage.Specifically, this social construction leads to problematic conceptualizations of common concern, citizenship, and the perpetuation of the racialization of minority groups.The expansion of public space is subtler and is observed in supportive letters to the editor and editorial pieces within both mainstream and alternative media sources.Literature pertaining to theories of public space as well as post-colonialist theory is used to situate this work.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.055 | 0.011 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.011 | 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".