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Record W1997950031 · doi:10.1108/02610150110786714

Hospital restructuring and psychological burnout in nursing staff

2001· article· en· W1997950031 on OpenAlex
Ronald J. Burke, Esther R. Greenglass

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEqual Opportunities International · 2001
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsYork University
Fundersnot available
KeywordsCynicismRestructuringBurnoutEmotional exhaustionNursingDemographicsPsychologyNursing staffMedicineClinical psychologyBusinessPolitical scienceFinanceSociology

Abstract

fetched live from OpenAlex

Examines the effects of hospital restructuring and downsizing on components of psychological burnout experienced by a predominantly female sample of hospital-based nursing staff. Collects data from 1,362 staff nurses using anonymous questionnaires Considers three components of psychological burn-out: emotional exhaustion, cynicism and prfessional efficacy. Includes three blocks of predictors: personal demographics, work situation characteristics, and three different measures of demands resulting from a restructuring experience. Concludes the experience of hospital restructuring and downsizing was consistently related to a high level of emotional exhaustion and cynicism, controlling for personal demographic and work situation characteristics.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.598
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.182
GPT teacher head0.487
Teacher spread0.305 · 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