MétaCan
Menu
Back to cohort
Record W1905838936 · doi:10.1111/jonm.12316

The object of your affection: how commitment, leadership and justice influence workplace behaviours in health care

2015· article· en· W1905838936 on OpenAlexaff
Tyrone Perreira, Whitney Berta

Bibliographic record

VenueJournal of Nursing Management · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsInstitute of Health Services and Policy ResearchUniversity of Toronto
Fundersnot available
KeywordsPsychologyRelevance (law)AffectionWork (physics)Field (mathematics)Health careSocial psychologyApplied psychology

Abstract

fetched live from OpenAlex

AIM: This paper describes the development of a coherent framework that develops nursing knowledge and guides research in workplace behaviours, work performance, and the factors that influence behaviours and performance. BACKGROUND: Work performance is dependent upon behaviours that are related to one's commitment towards their workplace and leadership interactions. The influence of these concepts on work outcomes has been established in disparate studies, but their precedence in terms of influencing workers' behaviours, is not well understood. METHODS: A scientific realism approach is applied, where theory and current research in the field of organisational behaviour and work motivation are drawn upon to identify validated constructs and explain their relationships. DISCUSSION: An augmented framework is produced, incorporating concepts of relevance to work motivation and work attitudes. Propositions, predicated on research evidence, are offered. Conclusions A novel comprehensive framework is developed, extending the range of behaviours important to workers and the organisation. IMPLICATIONS FOR NURSING MANAGEMENT: Focusing on targets for which nurses are affectively committed can prove useful to managers. The developed framework can be informative to managers by increasing awareness of the relationships between concepts, such that they are mindful of these constructs while interacting with staff.

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 score0.173
Threshold uncertainty score0.355

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 communication0.0000.001
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 head0.067
GPT teacher head0.316
Teacher spread0.249 · 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

Citations17
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Nursing ManagementSame topicJob Satisfaction and Organizational BehaviorFrench-language works237,207