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Record W1997123508 · doi:10.2190/rmay-nja9-kfw7-1uew

The Paradoxical Impact of Health Care Restructuring in Canada on Nursing as a Profession

2003· article· en· W1997123508 on OpenAlexaffabout
Alena Heitlinger

Bibliographic record

VenueInternational Journal of Health Services · 2003
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsTrent University
Fundersnot available
KeywordsRestructuringCasualGovernment (linguistics)NursingCollective bargainingPower (physics)Nursing shortageCompetition (biology)Health careBusinessLabour economicsPolitical scienceEconomicsMedicineEconomic growthFinance

Abstract

fetched live from OpenAlex

This article draws on the concept of "countervailing powers" to explore some of the contradictory effects of Canadian health care restructuring on nursing. The main focus is on key institutional powers in the nursing field, the major individual and collective strategies nurses have adopted in response to restructuring, and the ways in which the interaction between global and national market forces and the aggregate responses of nurses has created a severe shortage of nurses. The global shortage has led to a global competition for nurses' labor. This, along with government budget surpluses, has increased nurses' bargaining power, forcing governments and hospital managers to reverse nursing spending cuts; to offer more secure professional jobs, as opposed to casual work; to engage in aggressive, bonuses-laden recruitment of nurses, both within Canada and abroad; and, more generally, to rethink some of their restructuring strategies. However, since the bargaining power of nurses is largely market dependent and, as such, highly variable, there does not seem to be much potential for a sustained increase in the institutionalized power of the nursing profession.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.470
Teacher spread0.441 · 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.

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

Citations39
Published2003
Admission routes2
Has abstractyes

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