Racialized Diasporas in Taylor-Massey, Toronto: Sustainability-Programming Impacts on Neighbourhood Improvement Areas
Bibliographic record
Abstract
Taylor-Massey is a largely racialized immigrant neighbourhood that is designated as a Neighbourhood Improvement Area (NIA) by the City of Toronto. This indicates there are social inequities present in Taylor-Massey. This research asks how diasporic communities in Taylor-Massey are accessing, understanding, and taking up sustainability-related programming through community organizations such as Access Alliance Multicultural Health and Community Services. Interviews and participant observations guided by a qualitative approach were utilized to explore this research question. This thesis contributes insights into how culture, mediated through diasporic networks, plays a role in understandings of sustainable living. Findings further examine prominent internal and external barriers for Taylor-Massey residents that prevent them from achieving the sustainable practices they aspire to integrate into their everyday lives. Ultimately, these findings advance interdisciplinary understandings of the cultural dimensions and social dynamics of sustainability and contribute to the fields of sustainability and diaspora studies. Moreover, this study’s analysis is relevant for contextualizing systemic inequities in similar NIAs in the Greater Toronto Area.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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; both teacher heads agree on what is shown here.
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".