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Record W1808699392 · doi:10.24908/pceea.v0i0.4849

TRANSLATING A CORPORATE LEADERSHIP PHILOSOPHY AND PRACTICE TO THE ENGINEERING CLASSROOM

2013· article· en· W1808699392 on OpenAlexaffvenueabout
David Colcleugh, Doug Reeve

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2013
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCurriculumCompetence (human resources)Leadership developmentPsychologyEngineering ethicsManagementPedagogySociologyEngineeringPublic relationsPolitical science

Abstract

fetched live from OpenAlex

A multi-billion dollar chemical company (DupontCanada) developed, over twenty years, a unique leadership philosophy and practice that was instrumental in the company’s remarkable improvement and great financial and societal success. The beliefs that are fundamental to this Developmental Leadership model are: values are the foundation of leadership; everyone can learn to lead; leaders develop role model leading competence through learning certain skills, character attributes and purposeful behaviours; the work of leaders in organizations is developing high performance work systems dedicated to achieving sustainable growth; and learning to be a better leader is a life-long endeavor. A leadership course for engineering students based on this was developed by the former CEO and Chairman of the company (first author David Colcleugh), an engineer by training, and has been offered to undergraduate and post-graduate engineering students at the University of Toronto since 2007. At first the course was offered as a combined undergraduate-graduate course. In 2011 it was decided to offer separate coursesfor graduate students and undergraduate students. Atextbook, Everyone a Leader, was prepared (byColceugh) and beginning in 2012 was used, in manuscript form, in both courses. The textbook provided the curriculum and instructional framework that permitted a second instructor to lead the course –(second author Doug Reeve). The Developmental Leadership Model serves as a framework for instruction so long as the instructor’s own leadership experience is well integrated into course discussions. The course hasnow been offered eight times.The motivation for the course arises from the belief that engineering students should, in addition to having strong scientific and technical capabilities and being self-motivated to contribute, should be well prepared emotionally, socially, and ethically to accept challenges and should be to committed to develop non-technical as well as technical competencies.

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)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.005
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0040.002

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 head0.020
GPT teacher head0.195
Teacher spread0.175 · 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 designNot applicable
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

Citations6
Published2013
Admission routes3
Has abstractyes

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