“ <i>A Two Glass of Wine Shift</i> ”: Dominant Discourses and the Social Organization of Nurses’ Substance Use
Bibliographic record
Abstract
We undertook an institutional ethnography utilizing the expert knowledge of nurses who have experienced substance-use problems to discover: (a) What are the discourses embedded in the talk among nurses in their everyday work worlds that socially organize their substance-use practices and (b) how do those discourses manage these activities? Data collection included interviews, researcher reflexivity, and texts that were critically analyzed with a focus on institutional features. Analysis revealed dominant moralistic and individuated discourses in nurses' workplace talk that socially organized their substance-use practices, subordinated and silenced experiences of work stress, and erased employers' roles in managing working conditions. Conclusions included that nurses used substances in ways that enabled them to remain silent and keep working. Nurses' education did not prepare them regarding nurses' substance-use problems or managing emotional labor. Nurses viewed alcohol as an acceptable and encouraged coping strategy for nurses to manage emotional distress.
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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 | 0.015 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.026 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| 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 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".