MétaCan
Menu
Back to cohort
Record W2322957153 · doi:10.1287/orsc.2015.1043

Coordinating Flexible Performance During Everyday Work: An Ethnomethodological Study of Handoff Routines

2016· article· en· W2322957153 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.

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

Bibliographic record

VenueOrganization Science · 2016
Typearticle
Languageen
FieldMedicine
TopicHospital Admissions and Outcomes
Canadian institutionsQueen's UniversityUniversity of Toronto
Fundersnot available
KeywordsOstensive definitionEthnomethodologyComputer scienceHandoverKnowledge managementHuman–computer interactionPsychologySociologyEpistemologyTelecommunications

Abstract

fetched live from OpenAlex

Our paper examines the challenge of coordinating flexible performance during everyday work. We draw on routine dynamics and ethnomethodology to examine how intensive care unit (ICU) physicians coordinate their actions—flexibly yet intelligibly—as they handoff patients at change of shift. Through our analysis of interview and video data, we demonstrate how physicians use the sequential features of the handoff routine—i.e., the expected moves and their expected sequence—to adapt each performance of the routine to the unique needs of each patient. We show the need for ongoing coordinating despite a strongly shared ostensive pattern and we illustrate how participants use the sequential nature of the ostensive pattern of the routine as a resource for flexible performance, to manage sequential variation and the sufficiency of moves at transitions. Our findings contribute to the routine dynamics and coordination literatures by providing a more nuanced understanding of how mutual intelligibility is achieved through coordinating, whereby participants create the conditions to move forward with a common project.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.013
Threshold uncertainty score0.313

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
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 head0.057
GPT teacher head0.343
Teacher spread0.286 · 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