Bibliographic record
Abstract
Purpose The purpose of this paper is to situate the idea that the City of Toronto is a leader on addressing issues of diversity, racism and democracy within the context of diversity discourse and the racial norms that are incited by it. Design/methodology/approach A genealogy and critical discourse analysis of City of Toronto documents from 1975 to 2017 involving consultations with racial Others on issues of diversity, race and/or racism was conducted. Findings The author shows how the specific racial norms that continue to make up diversity discourse as “truth” in the City of Toronto are reproduced through the commodification of racial Others and the re-framing of their racial claims, to re-generate the narrative of the diverse City of Toronto where all are welcome to participate and belong. Practical implications Implications for senses of place are discussed. Originality/value This paper adds critical depth to understanding increased participation of racialised communities as a mechanism for achieving socio-political change in government and non-government institutions. Initiated in a local context, the findings of this paper are intended to contribute to a global reservoir of critical knowledge on diversity, race, democracy, political participation and power.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".