Outsiders in Their Homeland: Discursive Construction of Aboriginal Women and Citizenship
Bibliographic record
Abstract
Aboriginal peoples in Canada are increasingly moving to urban communities in search of educational and economic opportunities. For many urbanization is not an easy process, in particular when they move to cities that historically have had few Aboriginal citizens and where social traditions of resistance and resentment towards Aboriginal rights prevail. In this paper we explore one such case through studying the phenomenon known as NIMBY (not in my backyard). We apply critical discourse analysis to understand how concepts of citizenship were taken up when a non-profit society of Aboriginal women sought to establish a transition home for women and children moving to a small Canadian prairie city. Resistance to the women’s plans was expressed in neoliberal discourses that denied the women civic citizenship while affirmation of the women in terms of collective values and relational citizenship was undermined in the political maneuvers of public debate.
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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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.031 | 0.070 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".