MétaCan
Menu
Back to cohort

Organizational change and work-related empowerment

2007· article· en· W2124271684 on OpenAlexaff
Liisa Kuokkanen, Tarja Suominen, Sirkku Rankinen, Marja-Leena Kukkurainen, Nina Savikko, Diane Doran

Bibliographic record

VenueJournal of Nursing Management · 2007
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEmpowermentAbsenteeismMultidisciplinary approachBurnoutAuthoritarian leadership styleNursingPsychologyPopulationWork (physics)MedicineSocial psychologySociologyAuthoritarianismEnvironmental healthPolitical scienceClinical psychology

Abstract

fetched live from OpenAlex

AIM: This study describes the views of multidisciplinary teams on work-related empowerment in a transitional organization. METHODS: The data were collected between September 2003 and January 2004 (n=115) and one year later (n=112) using a self-administered questionnaire consisting of verbal and behavioural items, empowerment outcomes, and factors promoting and impeding empowerment. The target population consisted of all members working in multidisciplinary teams at the Rheumatism Foundation Hospital in Finland. The response rate was 58% at both data collections. The data were analysed statistically using SPSS software. RESULTS: The multidisciplinary teams rated their work empowerment quite highly. The number of empowerment promoting factors was lowest for the category of future orientedness, consisting of continuity of work, opportunities for advancement, and access to information. The number of impeding factors was also highest for the same category of future orientedness, consisting here of organizational bureaucracy and hierarchy, authoritarian leadership, poor access to information, and short working periods. CONCLUSIONS: It is important not to underestimate the impacts of organizational changes: they have a direct effect on the work environment and may contribute to higher rates of dissatisfaction, burnout and absenteeism among health care workers.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score0.514

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 integrity0.0000.000
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 head0.054
GPT teacher head0.437
Teacher spread0.383 · 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

Citations65
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Nursing ManagementSame topicInterprofessional Education and CollaborationFrench-language works237,207