MétaCan
Menu
Back to cohort
Record W4392376624 · doi:10.4324/9781032625720

Codevelopment Action Learning for Business

2024· book· en· W4392376624 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typebook
Languageen
FieldBusiness, Management and Accounting
TopicBusiness Process Modeling and Analysis
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAction (physics)Action learningComputer sciencePsychologyPhysicsMathematics education

Abstract

fetched live from OpenAlex

Workplaces where the focus is on innovation, teamwork and learning have become a reality, thanks to a simple, practical, and effective approach called CAL: Codevelopement Action Learning. This book will help you to create a collaborative and empowering culture in your organization. The CAL method, tools, and theoretical foundations for each component are presented in detail here. Real case studies and research findings on the tangible benefits and impacts of the approach enrich its content. Authored by a dynamic team of CAL business coaches and academics, the knowledge is shared in a straightforward and accessible manner. Business leaders, entrepreneurs, human resources and learning professionals, coaches, facilitators, scholar practitioners, and more will welcome this book’s thought-provoking guidance to co-create solutions, accelerate goals, and grow capabilities for the 21st century.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.151
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.043
GPT teacher head0.254
Teacher spread0.212 · 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

Quick stats

Citations7
Published2024
Admission routes1
Has abstractyes

Explore more

Same topicBusiness Process Modeling and AnalysisFrench-language works237,207