“Physics envy” in organisation studies: the case of James G. March
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.
Bibliographic record
Abstract
Purpose This article aims to propose a critical review of James G. March’s research in and particular its consistency with its epistemological and psychological underpinnings. Design/methodology/approach The paper proposes a textual and conceptual analysis of James G. March’s study. Findings The article argues first that March’s study exemplifies the “physics envy” typical of management and organisation studies scholars since the early 1960s. Second, evidence is presented that March’s conclusions, irrespective of their legacy on management and organisation studies, were not developed along and were not consistent with the foundations that March espoused and advocated during most of his career. As a result, the implications of his conclusions are uncertain. To his credit, however, there are reasons to believe that, towards the end of his career, March came to recognise the limitations of his scholarship. Further, he indicated an alternative avenue for organisation studies which eschews the shortcomings of positivist and post-modern research. Research limitations/implications Although centred on March’s work, the argument presented is relevant to psychology, organisations, choice, the nature of knowledge, the limitations of positivism and post-modernism. Originality/value The paper balances the perspective offered by recent celebratory reviews of March’s study.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it