MétaCan
Menu
Back to cohort
Record W3202174186 · doi:10.1002/nop2.1075

Mattering perception, work engagement and its relation to burnout amongst nurses during coronavirus outbreak

2021· article· en· W3202174186 on OpenAlex
Salwa Ahmed Mohamed, Abdelaziz Hendy, Omaima Mahmoud, Sayeda Mohamed Mohamed

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNursing Open · 2021
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsBurnoutWork engagementQuarter (Canadian coin)PerceptionFeelingScale (ratio)PsychologyOutbreakNursingMedicineClinical psychologyWork (physics)Social psychologyGeography

Abstract

fetched live from OpenAlex

AIM: To assess the mattering perception, feelings of burnout and work engagement amongst nurses during coronavirus outbreak. DESIGN: Cross-sectional research design. METHODS: It conducted at Zagazig fever hospital and chest hospital on 280 nurses. A self-administered questionnaire containing four parts; characteristics, mattering at Work Scale, Burnout scale and Engagement scale. RESULTS: The present study reported that more than half of studied nurses had moderate mattering level and more than one-quarter of them had low mattering. More than two-fifth of studied nurses had moderate level and slight less than one-third of them had low engagement. More than two-fifth of studied nurses had moderate level of burnout, whilst slight less than one-third of them had high burnout, and one-quarter of them had low burnout.

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)0.000
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 score0.792
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.113
GPT teacher head0.443
Teacher spread0.331 · 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