The social construction of statelessness in Canada: a study of national media 1939-2011
Bibliographic record
Abstract
To explore notions of knowledge production and narratives of truth surrounding statelessness in Canada, this study employs a mixed quantitative and qualitative methodology to a media analysis of 616 newspaper articles from Canada's two largest national newspaper, the Toronto Star and The Globe and Mail. Within a social constructivist analytical framework, it finds that using citizenship as a tool to divide 'us' from 'them', statelessness is constructed in such a way that reinforces power relations between those who belong in Canada and those who do not. This divide is achieved via the construction of the stateless person as the 'other' in Canadian society, the ill-recognition of statelessness as a phenomenon in and of itself, and thirdly, the construction of statelessness contributes to a blurring of the definitional clarity of statelessness, further complicating our understanding of statelessness as a separate and distinct form of status in the Canadian context.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.009 | 0.018 |
| Science and technology studies | 0.024 | 0.010 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.002 | 0.005 |
| 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".