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Social Symbolic Work Through a Temporal Lens: Understanding the Interplay of Agency and Temporality

2025· article· en· W4416000434 on OpenAlexaff
Jana Boevers, Jennifer Sloan, Nelson Phillips, Majken Schultz, Hamid Foroughi, Camille Pradies, Andrea Tunarosa, Diego M. Coraiola

Bibliographic record

VenueAcademy of Management Proceedings · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEmotional Labor in Professions
Canadian institutionsUniversity of VictoriaUniversity of Alberta
Fundersnot available
KeywordsTemporalityAgency (philosophy)Bridge (graph theory)Structure and agencyOrganizational studiesIdentity (music)Work (physics)SubjectivityOrganization studies

Abstract

fetched live from OpenAlex

In organizational studies, the concept of ‘work’ has evolved to encompass diverse streams, such as institutional work, identity work, or emotion work, recently brought together through the framework of social-symbolic work. Recent work shows how actors use time as a resource, structure, and process, offering tools to analyze how temporality influences the creation, maintenance, and change of social-symbolic objects across contexts. The purpose of this panel symposium is to explore the intricate relationship between temporality and social-symbolic work in organizational contexts, providing a better understanding of how past, present, and future orientations shape organizational processes. Distinguished scholars will investigate how actors purposefully create, maintain, and transform social-symbolic objects through complex temporal interactions. Further, the panel will critically assess current findings and bridge fragmented research areas. Participants will explore three key dimensions: (1) the dynamic and relational nature of social-symbolic objects, (2) emotions as temporal forces in organizational work, and (3) ontological perspectives on temporality. By fostering an interactive dialogue, this symposium aims to develop a more nuanced understanding of how temporal dimensions shape organizational work, offer new insights into the relationship between agency and structure, and articulate promising future research directions.

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)0.001
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.555
Threshold uncertainty score0.535

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.085
GPT teacher head0.393
Teacher spread0.308 · 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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