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Record W2623590259 · doi:10.3138/jcs.50.2.368

Changes and Continuities in the Workplace of Long-Term Residential Care in Canada, 1970–2015

2017· article· en· W2623590259 on OpenAlexvenueaboutno aff
Ruth Lowndes, James Struthers

Bibliographic record

VenueJournal of Canadian Studies · 2017
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsnot available
Fundersnot available
KeywordsStaffingPrecarityEthnographyWork (physics)Care workPoliticsNursingLong-term careSociologyPublic relationsPolitical scienceMedicineGender studies

Abstract

fetched live from OpenAlex

In this article, we compare current Canadian nursing home workers’ experiences and conditions of care to past work and care conditions to determine changes and similarities over the period from 1970 to the present. Employing a feminist political economy framework and a team-based rapid ethnography approach, our study involved observations of and in-depth interviews with management, health providers, support staff, informal care providers, union officials, and residents between 2012 and 2015. The historical substudy drew on interviews of past and present workers of one large long-term residential care home in Ontario. While improvements have been made in training and in the physical safety of staff and residents in these gendered spaces of work, there has been a persistence, if not intensification, in job precarity; inadequate staffing levels coupled with heavy workloads; routinized, assembly-line types of work; and cost-cutting on supplies.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.574

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0090.004
Scholarly communication0.0040.001
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.059
GPT teacher head0.389
Teacher spread0.329 · 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 designObservational
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

Citations17
Published2017
Admission routes2
Has abstractyes

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