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Record W2257247030 · doi:10.1177/0018726715580865

What happens when you can’t be <i>who you are</i> : Professional identity at the institutional periphery

2015· article· en· W2257247030 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

VenueHuman Relations · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsYork University
Fundersnot available
KeywordsIdentity (music)Scripting languagePublic relationsSociologyWork (physics)Power (physics)Social psychologyPolitical sciencePsychologyComputer science

Abstract

fetched live from OpenAlex

This article examines the impact of large scale, ‘macro’ role transitions on professional identity. Drawing on in-depth interviews with two different groups of immigrant professionals, it theorizes how organizational outsiders with established professional identities respond to the institutional requirements and specifically to professional pre-entry scripts in their new host country. The study demonstrates how identity work evolves among each group as they navigate the permeable and impermeable pre-entry scripts in their respective professions. It identifies both barriers and facilitators to engagement with, and fulfillment of, local pre-entry scripts. These findings demonstrate how different professional domains and power structures create different opportunities for re-entry and as a result give rise to different forms of identity work – involving, for example, identity customization, identity shadowing, struggle and enrichment. Implications for policy makers in the field will be discussed, focusing on how different groups of professionals respond to unique forms of identity threat emerging from their respective professional institutions and structural barriers.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.369
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.003
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.050
GPT teacher head0.262
Teacher spread0.212 · 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