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Record W2021282864 · doi:10.1108/00251740210422848

Analysing the thinking of F.W. Taylor using cognitive mapping

2002· article· en· W2021282864 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 Decision · 2002
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement Theory and Practice
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsCognitive mapRepresentation (politics)CognitionEpistemologySociologyComputer sciencePsychologyCognitive scienceKnowledge managementPhilosophyLawPolitical science

Abstract

fetched live from OpenAlex

Although the ideas of F.W. Taylor have profoundly marked the twentieth century, they do not seem to have been understood in the same way by the people who have studied them. Aims to enrich our understanding of the ideas of this remarkable author. Proposes a graphic representation of Taylor’s thinking in the form of a cognitive map. Then analyses the structure and content of the map using the Decision Explorer software package. Most of the concepts and links shown in the map were drawn from “Shop management”, and the remainder were taken from The Principles of Scientific Management . The results highlight the relative importance of the concepts used by Taylor, the dimensions on which he more or less consciously structured his thinking, together with the characteristics of the concepts he considered basically as “explanations” or “consequences”, and the more or less systemic or circular logic that guided him in the organization of his thinking. Discusses the limitations of the results and some future avenues for research.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.725
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.000
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 head0.061
GPT teacher head0.266
Teacher spread0.205 · 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