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Record W1591414433 · doi:10.3138/cbmh.29.2.309

Pulling Up Their Sleeves and Getting on with It: Providing Health Care in a Northern Remote Region

2012· article· en· W1591414433 on OpenAlexafffundvenueabout
Lesley McBain

Bibliographic record

VenueCanadian Journal of Health History · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsFirst Nations University of Canada
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSituatedGovernment (linguistics)NursingNursing carePsychologyMedicineComputer science

Abstract

fetched live from OpenAlex

Based on the written correspondence between nurses situated at northern outpost nursing stations and their supervisors in Regina, this paper illustrates the complexities of providing nursing care in Northern Saskatchewan between the mid-1940s and late 1950s. The paper begins with a discussion of the steps taken by governments to deal with what I refer to as a "landscape of hardship" in Northern Saskatchewan that precipitated creation of the nursing stations. However, government failure to provide adequate support for the nurses and nursing stations resulted in considerable hardship and frustration for the nurses to which, as their correspondence shows, they often objected.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.934
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.038
GPT teacher head0.258
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 teacher head, not a consensus.

Study designNot applicable
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

Citations5
Published2012
Admission routes4
Has abstractyes

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