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Record W2760371630 · doi:10.1177/0001839217733972

From Synchronizing to Harmonizing: The Process of Authenticating Multiple Work Identities

2017· article· en· W2760371630 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

VenueAdministrative Science Quarterly · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPluralIdentity (music)Work (physics)Process (computing)SociologyConsistency (knowledge bases)FeelingSocial psychologyAuthentication (law)Cognitive reframingPsychologyComputer scienceComputer securityAesthetics

Abstract

fetched live from OpenAlex

To understand how people cultivate and sustain authenticity in multiple, often shifting, work roles, we analyze qualitative data gathered over five years from a sample of 48 plural careerists—people who choose to simultaneously hold and identify with multiple jobs. We find that people with multiple work identities struggle with being, feeling, and seeming authentic both to their contextualized work roles and to their broader work selves. Further, practices developed to cope with these struggles change over time, suggesting a two-phase emergent process of authentication in which people first synchronize their individual work role identities and then progress toward harmonizing a more general work self. This study challenges the notion that consistency is the core of authenticity, demonstrating that for people with multiple valued identities, authenticity is not about being true to one identity across time and contexts, but instead involves creating and holding cognitive and social space for several true versions of oneself that may change over time. It suggests that authentication is the emergent, socially constructed process of both determining who one is and helping others see who one is.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.098
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.003
Scholarly communication0.0010.001
Open science0.0020.000
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 head0.217
GPT teacher head0.395
Teacher spread0.178 · 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