“My life is Happier because I can make them Happier”: Working Conditions and Leadership that Contribute to Culturally and Linguistically Specific Care
Bibliographic record
Abstract
This thesis contributes to research questions by exploring the culturally and linguistically specific (CLS) care for older Chinese Canadians in an Ontario long-term care (LTC) home and leadership practices that cultivate and maintain this care. Informed by Feminist Political Economy, this thesis explores the relations and conditions of those who work at one CLS LTC home, paying attention to the intersections of gender, race, class, and immigration, and their experience of everyday work and life. An exploratory case study is employed, in addition to three data collection methods: documentation review and analysis, semi-structured interviews, and a site visit. Findings show CLS care is not only supported through food, activities and programs, and language, but it also needs to attend to clinical assessment and judgment. Promising leadership practices include autonomy and discretion, teamwork, and skills and training are identified, and leadership is cultivated and maintained at every level of the organization.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".