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Record W2163444493 · doi:10.1177/0018726707084916

The transformational leader as pedagogue, physician, architect, commander, and saint: Five root metaphors in Jack Welch's letters to stockholders of General Electric

2007· article· en· W2163444493 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

VenueHuman Relations · 2007
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRhetorical questionTransformational leadershipCharismaSAINTRhetoricSociologyPsychologyManagementSocial psychologyLawLinguisticsPolitical sciencePhilosophyArtArt history

Abstract

fetched live from OpenAlex

We analyse the corpus of CEO letters to stockholders that were signed by a widely revered business leader, Jack Welch, during his tenure as CEO of the General Electric Company [GE], 1981—2000. Our discussion is located within theory pertaining to transformational leadership. We examine Welch's language from the standpoint of how transformational leadership can be conceived as a rhetorical artefact of one-sided dialogue emanating from a powerful leader. We give particular attention to the saturation of Welch's discourse with metaphors, and argue that metaphors illuminate how transformational leadership and the accompanying construct of charisma manifest themselves in practice. Five root metaphors that heightened Welch's persuasive and rhetorical impact on his audience are identified and discussed: Welch as pedagogue , physician, architect, commander and saint . We advocate greater awareness of the rhetorical techniques employed by transformational leaders in attempts to broker compliance with their views.

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)0.000
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 score0.949
Threshold uncertainty score0.466

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.024
GPT teacher head0.317
Teacher spread0.293 · 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