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Record W4388536368 · doi:10.1108/jocm-06-2023-0234

Mind the gap! Building bridges between institutional work and critical sensemaking

2023· article· en· W4388536368 on OpenAlexaff
Albert J. Mills, Päivi Eriksson, Eeva Aromaa, Outi-Maaria Palo-oja

Bibliographic record

VenueJournal of Organizational Change Management · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsAgency (philosophy)OriginalitySensemakingSociologyActor–network theoryValue (mathematics)EpistemologyHumanismTipping point (physics)Public relationsPolitical scienceSocial scienceComputer scienceEngineeringQualitative research

Abstract

fetched live from OpenAlex

Purpose The purpose of this article is to address research gaps relating to agency and institutionalism in new institutional theory (NIT) and institutional work (IW) and use the critical sensemaking (CSM) approach to bridge the debates around agency, especially on issues of language and discourse, actor network theory (ANT) and history. Design/methodology/approach A conceptual analysis of the literature is performed to discuss issues of agency in IW and CSM in organizations, and examples of empirical studies are used to illustrate connectivity, contrast and fusion. Findings The analysis illustrates points of distance (rather than disconnect), but most importantly, connectivity and the potential for further developments between the literature on IW and CSM. Social implications Discussion around new possibilities to focus on agency has the potential to contribute to humanist thinking about the (agentic) character of organizations and the potential for social change. Originality/value The article contributes to the discussion of agency in the organization through a starting point (i.e. CSM) outside of NIT.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.582
Threshold uncertainty score0.552

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
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 head0.069
GPT teacher head0.276
Teacher spread0.207 · 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

Citations5
Published2023
Admission routes1
Has abstractyes

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