Developing critical organizational history: Context, practice and implications
Bibliographic record
Abstract
Historical research now has a relatively high profile in organization studies, and organization theories are better represented in business history, thanks to increased interdisciplinary dialogue over the last decade. It might therefore be that the ‘historic turn’ has materialized in organization studies, and that business history has become significantly more conceptual in nature. We argue, however, that in terms of the original definition of the historic turn, as a rejection of scientism, acceptance of more heterogeneous forms of history, and reflexive accounts of the social construction of historicized narratives, there has been little progress. We revisit the idea of the turn in depth here, to examine the ways of doing history that might encourage a more substantial turn towards theory and towards history as a means of developing it. In particular, we suggest that an approach we term ‘critical organizational history’ remains underdeveloped, as a theoretically informed historicized approach to understanding how and why we come to be where we are in contemporary organized societies. Our aim is to take stock of the historic turn’s progress, reminding critically oriented organizational scholars and practitioners of organizational history of the importance of completing the turn with the underlying purpose of critique. To do this, we surface seven aspects of practice and three implications of them that demonstrate the underside of theorizing historically that we suggest are central to critical analysis. Understood and practised collectively, these could provoke considerable more critical organizational history to the benefit of all.
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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 | 0.040 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.015 | 0.067 |
| Scholarly communication | 0.028 | 0.026 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".