MétaCan
Menu
Back to cohort
Record W3015286769 · doi:10.1108/jhom-12-2019-0342

The interplay of roles and routines: situating, performances and patterning in the emergency department

2020· article· en· W3015286769 on OpenAlexaff
Virginia Rosales

Bibliographic record

VenueJournal of Health Organization and Management · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsFlexibility (engineering)Context (archaeology)Situational ethicsEmergency departmentWork (physics)EthnographyDynamics (music)PsychologyKnowledge managementSociologyPublic relationsComputer scienceSocial psychologyMedicineManagementNursingPolitical scienceEngineering

Abstract

fetched live from OpenAlex

PURPOSE: While previous research acknowledges the influence of roles on routine dynamics, roles are largely taken for granted. The purpose of this paper aims at examining how roles and routines interplay in accomplishing work in organizations. DESIGN/METHODOLOGY/APPROACH: A four-year ethnography of an emergency department (ED) at a university hospital was conducted through observations, interviews and documents. FINDINGS: Roles and routines are formed by scripted and unscripted patterns, which are brought into performances following a situational assessment. Performances trigger patterning processes prompting the co-construction of role and routine patterns. PRACTICAL IMPLICATIONS: This study highlights the importance of designing flexible structures. Managers can benefit from identifying unscripted patterns critical to work performance and making them part of scripted patterns. Managers should contemplate the influence that individuals, their relations and context have on how work is done. SOCIAL IMPLICATIONS: This study suggests that the existence of different patterns impacts the length of wait times in EDs, a societal issue worldwide because of the effects that waiting can have on the patient's health condition and the unnecessary costs it carries. This study can help design solutions to decrease wait times. ORIGINALITY/VALUE: This paper contributes to research on routine dynamics by providing a more nuanced explanation of the sources of endogenous change and how these enable organizational stability and flexibility.

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 score0.073
Threshold uncertainty score0.246

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 head0.012
GPT teacher head0.247
Teacher spread0.235 · 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

Citations10
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Health Organization and ManagementSame topicManagement and Organizational StudiesFrench-language works237,207