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Record W4411923489 · doi:10.1177/00187267251344775

Repairing ontological security: The collective sensemaking of affective stakeholders in online communities

2025· article· en· W4411923489 on OpenAlexaffabout
William Foster, Diego M. Coraiola, François Bastien

Bibliographic record

VenueHuman Relations · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversity of VictoriaUniversity of Alberta
Fundersnot available
KeywordsSensemakingPublic relationsOntological securityPsychologyBusinessKnowledge managementSociologySocial psychologyInternet privacyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Our study investigates how affective stakeholders – emotionally invested but organizationally powerless individuals – collectively make sense of unexpected organizational events in online environments. Drawing on a netnographic analysis of a National Hockey League fan forum, we examine how Edmonton Oilers supporters responded to the unexpected trade request of star player Chris Pronger. We find that the disruption of fans’ ideal, expected future triggered intense ontological insecurity, which they attempted to repair through collective temporal sensemaking. Fans cycled through three phases – rumour, confirmation and trade – each marked by distinctive uses of past, present and future narratives to reconstruct meaning and regain a sense of control. Our findings contribute to stakeholder theory by theorizing affective stakeholders as unique actors in organizational life. We also expand temporal sensemaking theory by showing how multitemporal narratives function as coping mechanisms in virtual communities. Finally, we emphasize the empirical value of studying collective sensemaking in digital spaces, where discursive interactions unfold in real time.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.493
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.068
GPT teacher head0.277
Teacher spread0.209 · 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 designObservational
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 routes2
Has abstractyes

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