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Record W2462847463 · doi:10.1891/1062-8061.9.1.51

Blood Work: Canadian Nursing and Blood Transfusion, 1942-1990

2001· article· en· W2462847463 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueNursing History Review · 2001
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Innovations
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsWorkforceWork (physics)NursingNegotiationDelegationPower (physics)Variety (cybernetics)MedicineProcess (computing)Political scienceLawComputer science

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.301
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.000

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.

Opus teacher head0.062
GPT teacher head0.248
Teacher spread0.187 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it