Bibliographic record
Abstract
Ability privilege describes the advantages enjoyed by those who exhibit certain abilities and the unwillingness of these individuals to relinquish the advantage linked to the abilities especially with the reason that these are earned or birth given (natural) abilities. Privileges linked to various groups (e.g. male, race, class, gender) are discussed in the literature. I submit that ability privilege, a dynamic pervasive in society, ought to be discussed. The lens of ability privilege allows for analyzing the dynamic of what ability advantages are seen as earned vs. unearned not only across traditional social groups (e.g. race, class, gender) but also between the social group dualistic of the ability-have and ability-not-have which allows one to look at ability 4 Associate Professor Community Rehabilitation and Disability Studies, Past President of Canadian Disability Studies Association and member of the board of the Society for Disability Studies.
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 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 | 0.012 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.009 | 0.051 |
| Scholarly communication | 0.016 | 0.041 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.006 | 0.018 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".