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Record W2072818062 · doi:10.1002/smj.2270

Strategy tools‐in‐use: A framework for understanding “technologies of rationality” in practice

2014· article· en· W2072818062 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

VenueStrategic Management Journal · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsBaycrest HospitalUniversity of Toronto
FundersEconomic and Social Research Council
KeywordsVariety (cybernetics)AffordanceAgency (philosophy)RationalityScholarshipVignetteManagement scienceComputer scienceSociologyKnowledge managementProcess managementEngineering ethicsBusinessEpistemologyPsychologyArtificial intelligenceHuman–computer interactionPolitical scienceEngineeringSocial scienceSocial psychology

Abstract

fetched live from OpenAlex

In response to critiques of strategy tools as unhelpful or potentially dangerous for organizations, we suggest casting a sociological eye on how tools are actually mobilized by strategy makers. In conceptualizing strategy tools as tools‐in‐use, we offer a framework for examining the ways that the affordances of strategy tools and the agency of strategy makers interact to shape how and when tools are selected and applied. Further, rather than evaluating the correct or incorrect use of tools, we highlight the variety of outcomes that result, not just for organizations but also for the tools and the individuals who use them. We illustrate this framework with a vignette and propose an agenda and methodological approaches for further scholarship on the use of strategy tools . Copyright © 2014 John Wiley & Sons, Ltd.

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 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 score0.967
Threshold uncertainty score0.745

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
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 head0.119
GPT teacher head0.306
Teacher spread0.187 · 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