The impacts for social workers of providing social work services in rural northeastern Ontario communities.
Bibliographic record
Abstract
The purpose of this study is to explore the personal and professional experiences of rural social \nworkers. This is a qualitative study with a constructivist grounded theory lens. This study utilizes a \nsample of four participants. The participants work in the social work field and live in northeastern \nOntario rural communities. Data was collected by audio-taped individual semi-structured interviews \nand subsequent member checking. The question explored is, how do rural social workers experience \nrural social work practice? Results of the study reveal that rural social workers experience both \nchallenges and strengths within their professional and personal lives. Three themes related to rural \nsocial work emerged through data analysis. The themes include rural social workers as unprepared for \ntheir work environments, rural social workers as having multiple roles and the strengths and challenges \nrural social workers face. This research provides insight into the experiences of rural social workers \nand recommendations for how to better prepare rural social workers. The study further provides \ninformation related to implications for social work education, social work practice and implications for \nfuture research. The implications for social work education include a recommendation that social work students be provided with a broad range of training in all areas, including rural social work practice. \nThe implications for social work practice include that we must encourage and maintain social workers \nwho demonstrate an interest in rural social work. Lastly, future research could be done regarding supervision and rural social workers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".