Costly bodies: an examination of long-term care and COVID-19 using autoethnography and critical discourse analysis
Bibliographic record
Abstract
The COVID-19 pandemic intensifies the challenging realities of institutionalization for many disabled people living in care facilities. This thesis project examines the impact of the COVID-19 pandemic on the lives of disabled people living in institutions from the perspective of a care provider. This project is situated within the theoretical frameworks of the political/relational model of disability, along with Crip theory. Data was collected from personal journal excerpts, as well as from health care protocols released from the Government of Saskatchewan and governing health care bodies. Data analysis through analytic autoethnography and critical discourse analysis revealed themes including isolation and societal understandings of the disposability of disabled individuals. This thesis project looks to communicate the realities of long-term care and highlight the harm health care protocols had for disabled individuals during the COVID-19, from the perspective of a care worker, while challenging ideas of institutionalization and merging thoughts around aging and disability studies.
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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 | 0.023 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.020 | 0.034 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.003 | 0.007 |
| 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".