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Toward an Integrated Organization Development Consulting Model

2025· book-chapter· en· W4410747135 on OpenAlexaff
Yabome Gilpin‐Jackson, Matt Minahan

Bibliographic record

VenueResearch in organizational change and development · 2025
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Learning and Leadership
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsProcess managementKnowledge managementBusinessComputer science

Abstract

fetched live from OpenAlex

Abstract Organization development (OD) is an applied behavioral, organizational, and social science. It is therefore a field of both scholarship and practice. Over the decades of the development of the field since the 1940s, different elements of scholarship and practice have emerged separately, leading to the fragmentation of a field that is meant to take a system-wide view of all forms of organizations into which OD scholars and practitioners intervene. The authors are scholar–practitioners who research and teach in the field. In the process, we have experienced the divergence of the field in that whether teaching in the classroom or building the capacity of mentees who are internal or external consultants, a variety of divergent sources are required to share a holistic picture of the knowledge required to build OD consulting practice skillsets. This chapter presents such an integrated OD consulting model that attempts to close this gap.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.947
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.276
GPT teacher head0.318
Teacher spread0.043 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2025
Admission routes1
Has abstractyes

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