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Record W3003257262 · doi:10.1177/0018726720906437

Responding to imposed job redesign: The evolving dynamics of work and identity in restructuring professional identity

2020· article· en· W3003257262 on OpenAlex
Yaru Chen, Trish Reay

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

VenueHuman Relations · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsIdentity (music)RestructuringLiminalityPublic relationsWork (physics)Identity formationSociologyProcess (computing)Social psychologyPsychologyPolitical scienceSelf-conceptComputer scienceLawEngineeringAesthetics

Abstract

fetched live from OpenAlex

How do professionals respond when they are required to conduct work that does not match with their identity? We investigated this situation in an English public services organization where a major work redesign initiative required professionals to engage in new tasks that they did not want to do. Based on our findings, we develop a process model of professional identity restructuring that includes the following four stages: (1) resisting identity change and mourning the loss of previous work, (2) conserving professional identity and avoiding the new work, (3) parking professional identity and learning the new work, and (4) retrieving and modifying professional identity and affirming the new work. Our model explicates the dynamics between professional work and professional identity, showing how requirements for new professional work can lead to a new professional identity. We also contribute to the literature by showing how parking one’s professional identity facilitates the creation of liminal space that allows professional identity restructuring.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.465
Threshold uncertainty score0.440

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.025
GPT teacher head0.278
Teacher spread0.252 · 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