‘Not everybody can do this job’: a qualitative inquiry into emotional labour from RCMP detachment services assistants
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Many police organisations employ and rely on public servants to complete specialised tasks with their organisations. The Royal Canadian Mounted Police (RCMP) regularly hires public servants known as Detachment Services Assistants (DSAs) to take on various support roles. As part of DSAs’ many clerical and administrative responsibilities, these workers must often perform emotional labour across different job tasks, which in turn, can be a personal yet occupationally mandated source of stress and strain. In the current study, we draw from semi-structured interviews with DSAs (n = 54) to investigate the different situations in which DSAs undertake emotional labour, the various styles of emotional labour DSAs perform, and the negative toll emotional labour places on DSAs in their workplace. Our research aims to contribute to the broader emotional labour literature on policing and the niche police literature on public servants, a form of civilian staff, employed by the RCMP.
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.
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 | 0.002 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it