Experiences of a Mass Interinstitutional Relocation for Long-Term Care Staff
Bibliographic record
Abstract
This research explored long-term care (LTC) staff perceptions and experiences of working in LTC and providing care to residents following a mass interinstitutional relocation. In-depth, semistructured interviews were conducted with 63 LTC workers. Thematic analyses revealed three overarching themes related to how staff members perceived their relationships with other staff members following relocation. The first theme, post-relocation relationships between staff members, included the subthemes “Staff are segregated from each other” (physical distance) and “We were a family” to “barely say hi” (psychological distance). The second theme, post-relocation stress, has two subthemes: “Staffing is our big issue” and consequences of stress: absenteeism and leave. The third theme is recommendations for improving and managing staff relationships post-relocation. Relationships among staff members are integral to working in LTC and providing care to residents following a mass interinstitutional relocation. Recommendations for improving staff relationships and morale are suggested.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".