Blood Work: Canadian Nursing and Blood Transfusion, 1942-1990
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
The extension of blood transfusion to civilian populations was contingent on the availability of a nursing workforce capable of taking on increasingly responsible roles. Nurses assumed a variety of roles as they incorporated blood work into patient care and, in the process, enabled, embodied, and engendered it as nurses' and women's work. Initially, the student workforce facilitated transfusion through roles that were congruent with nursing's domestic roots. Later, it constrained the expansion of blood work because of its perpetually novice nature. Delegation constituted one strategy by which a limited number of persons could become experienced and autonomous in a particular role. As long as the skill remained limited, nurses shared its associated power and status, which differentiated them within the work culture. A few women were able to shape blood work to their advantage, using their expertise either as job security or as a bargaining point to negotiate better working conditions. However, when the skill was routinized and dispersed among many nurses, it became dirty work. The examination of one specific technology that shifted from medicine into nursing contributes insights to current issues of expanded roles and delegated skills. Nurses need to question seriously what is gained and lost as they take on and let go of technologies. They need to consider what kinds of knowledge will be needed and how best to develop it. Finally, they need to reflect how changes might complicate care giving and nurses' work.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 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