How Does a Foucauldian Genealogical Approach Enhance the Study of Long-Term Care through a Critical Disability Lens?
Bibliographic record
Abstract
Younger disabled adults in long-term care, particularly those with physical disabilities and chronic illnesses, receive care that does not fit their needs. This article looks at whether a Foucauldian genealogical approach would enhance a study that focuses on the societal values that have allowed this situation to persist. It looks at the historical and cultural contingencies of genealogy, and its ability to explore the complex power relations at play, in normalization and biopower. It concludes that there is a place for this approach–one that can be adapted from the 1970s approach of Foucault to fit power dynamics and positioning in care in the 2020s.
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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 | 0.041 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.003 |
| Science and technology studies | 0.013 | 0.135 |
| Scholarly communication | 0.015 | 0.033 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 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".