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Record W2174604302 · doi:10.1002/9781119176626.ch31

The Dialogic Organization Development Approach to Transformation and Change

2015· other· en· W2174604302 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

Venuenot available
Typeother
Languageen
FieldBusiness, Management and Accounting
TopicAppreciative Inquiry and Organizational Change
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsTransformational leadershipDialogicMindsetGenerativityProcess (computing)Meaning (existential)NarrativeKey (lock)SociologyPolitical sciencePsychologyPublic relationsEpistemologyPedagogyComputer scienceSocial psychologyLinguistics

Abstract

fetched live from OpenAlex

Simply having “good dialogues” is not enough to create change. Hence, dialogic organization development (OD) approaches can help leaders and organizations meet adaptive challenges and create transformational change. This chapter identifies eight key premises of a dialogic OD mindset and contrasts these with a diagnostic OD mindset. The key premises include: reality and relationships are socially constructed; organizations are meaning-making systems; and language, broadly defined, matters. The chapter also identifies the three core change processes that, whether practitioners are aware of it or not, are the source of change in dialogic OD efforts. These change processes are: transformational process 1-emergence; transformational process 2-narrative; and transformational process 3-generativity.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.068
Threshold uncertainty score0.610

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.063
GPT teacher head0.226
Teacher spread0.163 · 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