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Power Narrativized: How Temporality and Emotionality Empower Activist Identity Construction

2025· article· en· W4416001864 on OpenAlexaff
Emma Lei Jing, Lianne Lefsrud

Bibliographic record

VenueAcademy of Management Proceedings · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEmotional Labor in Professions
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsTemporalityNarrativeIdentity (music)AmbivalencePower (physics)Construct (python library)Psychology of selfSelf

Abstract

fetched live from OpenAlex

To better understand the role of power in identity construction, we ask how workers construct a labour activist identity based on their experience of disempowerment. In examining labour activists’ accounts, central to their identity construction, we find two sets of power-infused narratives of their experienced disempowerment embedded in a temporal framework (i.e., past, present, and future). For some, their past experience with disempowerment in families internalizes a sense of powerlessness and unionism is seen as a tool to overcome this; we term this episodic power narrative as it reflects a self-focused process in which they obtain a personal sense of growing influence by participating in unionism. For others, their present experience with disempowerment in employment features a realization about the power asymmetry in the employment system and unionism is seen as an institution to counter this; we term this systemic power narrative as it highlights a collective-focused process that is more about leveraging activism to join an institutionalized power struggle. We also find a narrative of felt disempowerment featuring a multiplicity of ambivalent emotions, from which a ‘deep story’ emerges and speaks to a broader power story around class struggles in the society. Taken together, we offer a conceptual perspective to understanding the power-identity relationship different from existing perspectives, such as identity work and emancipation. We also contribute more generally to the growing literature showing the importance of temporality and emotionality to identity processes.

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.

How this classification was reachedexpand

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.587
Threshold uncertainty score0.565

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.002
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 head0.023
GPT teacher head0.357
Teacher spread0.335 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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