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Record W7044576860

急诊科护士述情障碍与其职业倦怠的相关性研究

2021· other· zh· W7044576860 on OpenAlex

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

VenueLanzhou University Institutional Repository · 2021
Typeother
Languagezh
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaWork (physics)Relation (database)Burnout
DOInot available

Abstract

fetched live from OpenAlex

目的分析急诊科护士述情障碍与职业倦怠的相关性,探讨急诊科护士述情障碍对职业倦怠的影响。方法采用一般资料调查表、多伦多述情障碍量表(20-item Toronto alexithymia scale,TAS-20)和Maslach职业倦怠量表(Maslach burnout iaventorygeneral suruey,MBI-GS)对5省市22所医院急诊科护士进行问卷调查,采用分层回归分析探讨急诊科护士述情障碍对职业倦怠的影响。结果共调查464名急诊科护士,21.6%(100人)存在述情障碍,45.0%(209人)存在可疑述情障碍。Pearson相关分析显示,急诊科护士述情障碍各因子得分与职业倦怠各因子得分均呈显著正相关(均P<0.01)。分层回归分析显示,情感识别障碍和外向型思维为急诊科护士职业倦怠的危险因素。结论急诊科护士述情障碍问题突出,述情障碍与职业倦怠呈正相关关系,护理管理者可通过提供针对性的述情障碍干预措施以缓解急诊科护士职业倦怠状况。

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.484
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.4720.001

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 head0.010
GPT teacher head0.211
Teacher spread0.201 · 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