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Record W2896564423 · doi:10.1108/jwl-01-2018-0004

A sociomaterial inquiry into the clinical teaching workplace

2018· article· en· W2896564423 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

VenueJournal of Workplace Learning · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Education and Learning Practices
Canadian institutionsLambton CollegeFanshawe CollegeWestern University
Fundersnot available
KeywordsBoundary objectSet (abstract data type)StakeholderNarrativeSociologyDisciplinePoliticsKnowledge managementPublic relationsPsychologyPolitical scienceComputer scienceSocial science

Abstract

fetched live from OpenAlex

Purpose This paper aims to trace the relational and material ways in which workplace teams come together (or fail to) in the provision of patient care. Design/methodology/approach Six interprofessional scholars brought their unique theoretical and disciplinary lenses to understand the contextualized experiences of the patient and the team. Adopting a critical narrative inquiry (CNR) approach, the experiences of 19 participants were documented as they interacted in the care of an elderly patient over a three-week period. Actor network theory constructs enabled the analysis of multiple artefacts implicated in the interactions to learn of their contribution to the enactment of her care. Findings The study gives empirical insights about ways in which knowledge circulates amongst the workplace and how systemic structures may impede effective and quality patient care. Various types of knowledge are held by different team members, and both individuals and materials (e.g. technologies) can influence the way those knowledges are shared (or not). Research limitations/implications Focusing on a rich data set surrounding one patient documented as theatre serves pedagogical purposes and serves as a shared “boundary-breaking” object to interrogate from multiple stakeholder perspectives. CNR provides for recursive, dynamic learning as readers critically consider experiences within their own contexts. Practical implications Despite research that documents competing political, systemic and economic goals, sedimented policies and practices persist in ways that undermine care goals. Social implications Tackling the urgent issue of an aging population will require expanding collaboration (for planning, research and so on) to include a broader set of stakeholders, including operational, administrative and post-discharge organizations. Attention to social infrastructure as a means to assemble knowledges and improve relationships in the care process is critical. Originality/value Building a boundary-breaking shared object to represent the data offers a unique opportunity for multiple stakeholder groups to enter into dialogue around barriers to workplace interaction and collaboration progress, linking problems to critical perspectives.

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)0.021
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.783
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.106
GPT teacher head0.485
Teacher spread0.379 · 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