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Record W7100007374

THE RELATIONSHIP OF WORK STATUS (IN)CONGRUENCY WITH PERCEIVED EMPLOYER COMMITMENT AND COMMITMENT OF COMMUNITY HEALTH NURSES

2014· article· en· W7100007374 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicMinimally Invasive Surgical Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Job satisfactionContinuanceOrganizational commitmentPreferenceJob insecurityMeaning (existential)
DOInot available

Abstract

fetched live from OpenAlex

Using a social exchange framework, we examined the relationship of work status (in)congruency with organization-specific and job-specific aspects of perceived employer commitment and with nurses ’ commitment to their organization, to their job, and to their profession. The participants were 1,230 female nurses employed in community health agencies in Canada. Part-time nurses preferring full-time work perceived greater job insecurity and lack of access to development opportunities, but reported the highest level of commitment to their organization and profession. Full-time nurses preferring part-time work perceived less organizational support, reported lowest level of meaning empowerment, affective, normative, and professional commitment, but reported greatest continuance commitment. Work status congruency occurs when a person’s current work status (full-time or part-time) matches their preference for work status (prefers to work full-time or prefers to work part-time). Work status incongruency occurs when a person’s work status is inconsistent with the person’s preferred work status, i.e., the person is working full-time but prefers to work part-time or the person is working parttime but prefers to work full-time. Work status (in)congruency has been shown to be significantly related to employee attitudes and well-being including job satisfaction (Armstrong-Stassen, Al-Ma’aitah,

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 score0.010
Threshold uncertainty score0.320

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 head0.337
Teacher spread0.283 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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