MétaCan
Menu
Back to cohort
Record W2947121971 · doi:10.1177/0170840619847718

Power in Sensemaking Processes

2019· article· en· W2947121971 on OpenAlex
Henri Schildt, Saku Mantere, Joep Cornelissen

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

VenueOrganization Studies · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsSensemakingPreconsciousEpistemologyPower (physics)ExplicationPsychologySociologyCognitive scienceCognitive psychologyKnowledge managementComputer scienceUnconscious mindPhilosophy

Abstract

fetched live from OpenAlex

This article examines the effects of power on sensemaking processes, bridging two major, yet traditionally separate, literatures in organization studies. Dividing power into its systemic and episodic forms, we elaborate how power shapes not only the content of sensemaking, but also the form of sensemaking processes. We explicate the distinct ways in which power works in four archetypal sensemaking processes: automatic (preconscious and committed), improvisational (preconscious and provisional), algorithmic (conscious and committed) and reflective (conscious and provisional). These ideal-type processes help us theorize how influences related to systemic and episodic power induce more or less conscious and provisional forms of sensemaking. This refined understanding of sensemaking processes enables further explication of episodic power into distinctive kinds of sensegiving and sensebreaking activities.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.196
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.014
GPT teacher head0.230
Teacher spread0.216 · 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