Cheap Labour or Formative Experience during COVID-19: Observational Perspectives on Pharmacy Student Co-op Placements
Bibliographic record
Abstract
In this snapshot of current research, modifications and reformulations of initial questions regarding the role of the pharmacy student and the nature of their co-op placement are emerging from observations and experiences on the frontlines of the COVID-19 pandemic. Shifting healthcare contexts necessitate an examination of pharmacists’ reflections on their work experiences prior to, during and post COVID-19. This pivot in research direction is discussed in light of the pandemic and evolving healthcare situation. As such, the discussion encompasses: scope of practice changes, feminization, core competencies, preceptor-student relationships, the role of lifelong learning as developed through experiential co-op student placements, the impact of work intensification on students’ learning and the accessibility of pharmacists as frontline healthcare workers engaged in public health education. Against the stark relief of the pandemic, examining co-op placements as formative experience or cheap labour may serve to further elucidate the nature of the pharmacy profession’s transformation.
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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 | 0.013 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".