MétaCan
Menu
Back to cohort
Record W2044363579 · doi:10.7202/030494ar

“Sharing the Halo”: Social and Professional Tensions in the Work of World War I Canadian Volunteer Nurses

2006· article· en· W2044363579 on OpenAlexvenueaboutno aff
Linda J. Quiney

Bibliographic record

VenueJournal of the Canadian Historical Association · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsRationalisationNursingWork (physics)CommissionPublic relationsSocial workWorld War IIPsychologyPolitical scienceMedicineLawEngineering

Abstract

fetched live from OpenAlex

The experience of some 500 Canadian and Newfoundland women who served overseas as Voluntary Aid Detachment (VAD) nurses during the Great War has been eclipsed by the British record. Sent as auxiliary assistants to trained nurses in the military hospitals, Canadian VADs confronted a complex mix of emotional, physical, and intellectual challenges, including their “colonial” status. As casually trained, inexperienced amateurs in an unfamiliar, highly structured hospital culture, they were often resented by the overworked and undervalued trained nurses, whose struggle for professional recognition was necessarily abandoned during the crisis of war. The frequently intimate physical needs of critically ill soldiers also demanded a rationalisation of the VAD's role as “nurse” within a maternalist framework that eased social tensions for both VAD and patient. As volunteers assisting paid practitioners, the Canadian VAD experience offers new insights into a critical era of women's developing professional identities.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score0.590

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0970.048
Scholarly communication0.0150.004
Open science0.0040.016
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.235
Teacher spread0.219 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2006
Admission routes2
Has abstractyes

Explore more

Same venueJournal of the Canadian Historical AssociationSame topicCanadian Identity and HistoryFrench-language works237,207