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Record W2624407794 · doi:10.3138/jcs.50.2.422

Imagining Gerontological Nursing: Canadian Nurses and Eldercare, 1905–70

2017· article· en· W2624407794 on OpenAlexvenueaboutno aff
Kathryn McPherson

Bibliographic record

VenueJournal of Canadian Studies · 2017
Typearticle
Languageen
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsnot available
Fundersnot available
KeywordsGerontological nursingNursingGeriatric careWork (physics)Population ageingGeriatricsHealth carePopulationGerontologyMedicinePolitical science

Abstract

fetched live from OpenAlex

This article explores how Canadian nurses understood care for the elderly in the decades before geriatric/gerontological nursing emerged as a distinct subspeciality. Using articles, editorials, and advertisements published in the Canadian national nursing journal Canadian Nurse, this paper argues that from 1905 until the 1940s, Canadian nurses imagined care for the elderly as part of a wider paradigm of chronic and rehabilitative care, which integrated personal, domestic, scientific, and therapeutic practices. As the population of seniors grew after the Second World War, Canadian nurses joined other health professionals in defining old age as a distinct life phase best understood through the tools of scientific medicine. Embracing geriatric science held some advantages but also made it more difficult for nurses to sustain the integration of personal and scientific care. This article traces the historical shifts in how Canadian nurses approached care for the elderly and, in doing so, contributes to the larger project of making nurses’ work and knowledge visible.

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)0.005
metaresearch head score (Gemma)0.006
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: none
Teacher disagreement score0.215
Threshold uncertainty score0.910

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0410.030
Scholarly communication0.0080.005
Open science0.0020.005
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0040.000

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 head0.145
GPT teacher head0.446
Teacher spread0.301 · 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

Citations0
Published2017
Admission routes2
Has abstractyes

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