Bibliographic record
Abstract
Working in a rural community locates the professional in a wider social network as community members often expect more from their professionals; not only as service providers, but also as engaged members of the community. This can result in the rural social worker being highly visible both personally and professionally and it can also lead to overlapping relationships. These higher expectations can place stress on the worker in terms of maintaining accepted professional roles and a sense of professional identity. This qualitative study explores the first-hand experiences of a cross-section of service providers in more than a dozen communities within northwestern Ontario and northern Manitoba, Canada. The responses of the participants provide some insight into how rural practitioners maintain their professional identity when working within the unique demands of the rural and remote context. Recurring themes from the interviews suggest that these professionals craft their own informal decision-making processes to address intersecting roles, community gossip, and personal isolation, even while, in some cases, practicing in their home community. The findings provide greater understanding of the pressures and realities of working in small remote towns and the challenges of responding to the expectations and realities of relationships including the expectation of working with friends and family members of friends or colleagues: issues that have not been adequately studied in the literature to date.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.120 | 0.026 |
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".