Disabilities, gender and employment: social exclusion, employment equity and Canadian banking<sup>1</sup>
Bibliographic record
Abstract
People with disabilities, especially women, suffer from appallingly high rates of poverty, and paid work is frequently cited as a primary route out of poverty. I draw on feminist analyses of work and disability studies to reflect on the Canadian federal government's Employment Equity Act. I use the example of the ‘Big Six’ banks to investigate the numerical representation and occupational distribution of women and men with disabilities compared to their counterparts without disabilities. However, social justice in the workplace is at least as much about the quality of social relationships as it is about statistical effects. Reaching workplace equity also involves the creation of a workplace climate where people with disabilities experience supportive and responsive supervision, along with a sense of being respected and valued. I assess the banks’ progress towards identifying and eliminating discriminatory disabling barriers. I close with a discussion of workplace climate and locate the Act in the context of a broader network of change that includes challenging ableism.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.025 | 0.018 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".