Taking an eventful historic turn down the cultural memory lane
Bibliographic record
Abstract
Purpose This paper aims to find common ground between the supposed incompatible meta-historical positioning of positivism and post-positivism through a turn to mnemohistory in management and organizational history. Design/methodology/approach Drawing on the idea of creative synthesis and positioning theory, the authors interject concepts from cultural memory studies in historical research on business and organizations to encourage management historians and organization theorists interested in joining the dialogue around how the past is known in the present. Using notions of “aftermath” and “events,” the idea of apositivism is written into historical organization studies to focus on understanding the complex ways of how past events translate into history. The critical historic turn event is raised as an exemplar of these ideas. Findings The overview of the emergence of the controversial historic turn in management and organization studies and the positioning of its adherents and antagonists revealed that there may be some commonality between the fragmented sense of the field. It was revealed that effective historyvis-à-vismnemohistory may hold the potential of a shared scholarly ethic. Originality/value The research builds on recent work that has sought to bring together the boundaries of management and organizational history. This paper explains how mnemohistory can offer a common position that is instrumental for theorizing the relationships among the past-infused constructs such as organizational heritage, legacy and identity.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.036 |
| Scholarly communication | 0.011 | 0.017 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
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".