Bibliographic record
Abstract
The contribution of Edgar H. Schein to the field of management, organisation studies and applied behavioural science is both extensive and deep. For almost 70 years, he has creatively and systematically shaped theory and practice in areas including organisation development and change, career dynamics, the cultural dynamics of complex systems, leadership, process consultation and the clinical inquiry/research paradigm. He has written extensively on the process of organisational change and framed the construct of the clinical approach to research. With such an extensive corpus over such a long period, Schein has been termed a “transcendent thought leader” and it is in this spirit that a volume exploring his work offers a contribution how scholars and practitioners can come to understand their engagement in organisations. This singular volume adopts a reflective perspective on the work of Edgar Schein as a social scientist and shows how he developed his craft as an engaged organisational scholar-practitioner through reflexive attention to his experience in working with managers and organisations and generating knowledge out of action. The intended contribution is both to present Schein’s work to students and scholars of organisation studies and to offer a reflexive methodological framework to engage scholar-practitioner in any field.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.029 | 0.016 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".