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Record W6987168872

The Social Relations of Home Care Nursing Work

2023· dissertation· en· W6987168872 on OpenAlexaboutno aff

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2023
Typedissertation
Languageen
FieldNursing
TopicNursing Education, Practice, and Leadership
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)DocumentationEthnographyHealth careTeam nursingSocial workPrimary nursingNursing care
DOInot available

Abstract

fetched live from OpenAlex

There is an increasing need for home care in Canada; however, there is little evidence about the everyday nursing work in home care and the institutional influences that impact this work. As nurses are the largest professional care providers in home care and given the increasing demands for home care services, there is a need to understand the work of nurses, specifically to identify the social organization of this work. As a part of a larger Canadian study on home care systems, this institutional ethnography focused on home care nurses in one health authority in Western Canada. The standpoint of nurses was explored through interviews, observations, and collected texts used to explicate the social relations coordinating home care nursing work. The results of this inquiry show that nurses’ work is coordinated through texts and electronic health documentation systems. Safety, measurement, and efficiency are shown to influence nurses’ work. Alongside the discursive arrangements, increasingly nurses’ time coordinating their work and client care is expanding, with less time for direct client care. To meet the increasing demand for home care, insight is needed to improve access and care. Understanding the invisible but dominant ruling relations organizing influencing, and at times disorganizing, the everyday work of nurses is a vital first step in creating change for home care nursing.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.034
GPT teacher head0.336
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 teacher head, not a consensus.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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