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Record W3044334183 · doi:10.1111/joms.12613

Of Organizing and Sensemaking: From Action to Meaning and Back Again in a Half‐Century of Weick’s Theorizing

2020· article· en· W3044334183 on OpenAlexaff
Mary Ann Glynn, Lee Watkiss

Bibliographic record

VenueJournal of Management Studies · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsSensemakingContext (archaeology)Meaning (existential)EpistemologyAction (physics)SociologyPerspective (graphical)Organization studiesProcess (computing)Meaning-makingReciprocalScholarshipPsychologyComputer sciencePolitical scienceKnowledge managementHistoryPhilosophyLawArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract The themes of organizing and sensemaking have reverberated throughout Weick’s remarkable career and constitute one of the hallmarks of his contribution. We review his major works and show how Weick differentially emphasizes organizing and sensemaking over time and, eventually, arrives at a fuller integration of meaning and action. Initially, Weick (1969; 1979) models their relationship as linear, focusing on how organizing functioned as a context for sensemaking, an approach we labelSensemaking in Organizing. Later, however, Weick (1995a; 2005) construes their relationship in more dynamic, interactive, and reciprocal cycles, modelling sensemaking as the process whereby organizing is achieved, an approach we labelSensemaking as Organizing. We explore the evolution and implications of these approaches and discuss their impact on management scholarship. Finally, we draw out potential future research directions at the interface of organizing and sensemaking.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.014
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0050.084
Scholarly communication0.0140.018
Open science0.0010.005
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0020.000

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 head0.041
GPT teacher head0.256
Teacher spread0.214 · 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 source (direct Gemma or distilled Codex), 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

Citations57
Published2020
Admission routes1
Has abstractyes

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