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Record W2103307675 · doi:10.1177/1049732310375435

An Institutional Ethnography of Nurses’ Stress

2010· article· en· W2103307675 on OpenAlex
Elizabeth McGibbon, Elizabeth Peter, Ruth Gallop

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueQualitative Health Research · 2010
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsUniversity of TorontoSt. Francis Xavier University
Fundersnot available
KeywordsCompassion fatigueParticipant observationNursingPsychologyEthnographyDistressWorkforceStress (linguistics)CompassionSociologyBurnoutMedicineClinical psychology

Abstract

fetched live from OpenAlex

There are three main conceptualizations of nurses' stress: occupational stress, moral distress, and traumatization (compassion fatigue, secondary traumatic stress, vicarious trauma). Although we have learned a great deal from these fields, some of them lack important contextual aspects of nurses' practice, such as the gendered nature of the workforce and the nature of the work, including bodily caring. The purpose of this study was to reformulate the nature of stress in nursing, with attention to important contextual aspects of nurses' practice. Smith's sociological frame of institutional ethnography was used to explicate the social organization of nurses' stress. Data collection methods included in-depth interviews, participant observation, and focus groups with pediatric intensive care nurses. Data analysis focused on the social organization of nurses' stress, including negotiating power-based hierarchies and articulating the patient to the system. The article concludes with recommendations for addressing nurses' stress through a more critical and contextual analysis.

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)0.101
metaresearch head score (Gemma)0.049
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.475
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1010.049
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.019
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 head0.691
GPT teacher head0.778
Teacher spread0.087 · 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