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Record W1975420194 · doi:10.1177/1350507602333004

Graduate Leadership Education for Dynamic Human Systems

2002· article· en· W1975420194 on OpenAlexaff
Marilyn M. Taylor, Don De Guerre, James Gavin, R. Kass

Bibliographic record

VenueManagement Learning · 2002
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Learning and Leadership
Canadian institutionsConcordia University
Fundersnot available
KeywordsAttunementOrganizational learningSociologyNegotiationOrganization developmentAction (physics)Knowledge managementEngineering ethicsPerspective (graphical)Action learningPublic relationsPolitical sciencePedagogyComputer scienceEngineeringSocial scienceTeaching method

Abstract

fetched live from OpenAlex

As global flux reshapes organizational life, demands on organizational leadership are shifting radically. This article reviews the trends in recent calls for revision of management education and presents a fundamentally different perspective with related design principles that hold promise for addressing the new leadership challenges in turbulent environments. This systemic approach to leadership education for organizational change leaders and consultants fosters attunement to social processes in the collaborative development of productive organizational contexts, the effective use of theory-in-practice, expertise for learning-in-action, and requisite self-knowledge. Educational programmes evolving with dynamic postmodern organizational realities are, by definition, incongruous with the underlying traditional operating assumptions of the university. The challenge of negotiating this paradigmatic interface is also discussed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0020.002
Open science0.0000.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0260.004

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 head0.102
GPT teacher head0.258
Teacher spread0.156 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations34
Published2002
Admission routes1
Has abstractyes

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