Emotional Labor of Nurses and Phlebotomists in a New Source Plasma Collection Site During the COVID-19 Pandemic
Bibliographic record
Abstract
As uses of plasma-derived medical products increase globally, so does the demand to collect plasma from donors. There is evidence that positive interactions with center staff motivate plasma donors to return. This paper reports on a focused ethnography investigating experiences of nurses and phlebotomists in one of Canadian Blood Services' first source plasma collection center during the COVID-19 pandemic. Participants found the transition from whole blood collection to source plasma amid a global pandemic challenging, but they adapted by coming together as a team, and then worked to put the donor experience first. Their experience resonates with scholarship on emotional labor. As blood services worldwide attempt to increase source plasma collection, there is a need to understand care work that nurses and phlebotomists perform on the front-line. This study offers insight into how blood services can support staff in plasma operations by recognizing emotional labor.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".