The Newcomer Women of Aliddesa: Exploring Practices of Resettlement, Citizenship, and Community Development in Toronto
Bibliographic record
Abstract
This qualitative and exploratory research project focuses on observing Aliddesa, a grassroots organization that is made up of Spanish speaking newcomer women based in Toronto. Via interviews, personal reflections in writing, and a focus group with three members of Aliddesa, research findings provide insight into the participant’s personal experiences of resettlement and their perceptions about community development work. Research recommendations point to the value of reconceptualising the resettlement process by documenting the real life stories of newcomer women, and also, by developing a model of resettlement that more acutely describes this process with issues of gender as the primary focus. In addition, research findings are analysed from a conceptual framework of cultural citizenship theory, suggesting that it is a relevant paradigm to discuss and highlight the contributions that are made by newcomer women and also the benefits that enrich Canadian society as a result of their activities.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.023 | 0.011 |
| Scholarly communication | 0.004 | 0.002 |
| 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".