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Record W3036280337 · doi:10.1177/0893318920934890

Collective Sensemaking Around COVID-19: Experiences, Concerns, and Agendas for our Rapidly Changing Organizational Lives

2020· article· en· W3036280337 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

VenueManagement Communication Quarterly · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Relations and Crisis Communication
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsSensemakingSociologyPublic relationsCoronavirus disease 2019 (COVID-19)Work (physics)Privilege (computing)PandemicPolitical science

Abstract

fetched live from OpenAlex

Uncertainty is at the forefront of many crises, disasters, and emergencies, and the COVID-19 pandemic is no different in this regard. In this forum, we, as a group of organizational communication scholars currently living in North America, engage in sensemaking and sensegiving around this pandemic to help process and share some of the academic uncertainties and opportunities relevant to organizational scholars. We begin by reflexively making sense of our own experiences with adjusting to new ways of working during the onset of the pandemic, including uncomfortable realizations around privilege, positionality, race, and ethnicity. We then discuss key concerns about how organizations and organizing practices are responding to this extreme uncertainty. Finally, we offer thoughts on the future of work and organizing informed by COVID-19, along with a list of research practice considerations and potentially generative research questions. Thus, this forum invites you to reflect on your own experiences and suggests future directions for research amidst and after a cosmology event.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.939
Threshold uncertainty score0.999

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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.059
GPT teacher head0.350
Teacher spread0.291 · 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