Organizational dominance and the rise of corporate professionalism: The case of management consultancy in the UK
Bibliographic record
Abstract
Abstract While recent debates about the professions have noted the pervasive influence of organizations, less is known about how this plays out at the macro or occupational level. In this paper, we address this concern, focusing on corporate professionalism (CP) as an emergent form which appears to be shaped by organizational interests. Drawing on relational perspectives of professions, we focus on the strategies of two associations in the UK management consultancy field over a 50-year period. Our analysis of archival and interview data reveals how, over time, both associations substantially modified their strategies in response to shifting priorities of firms employing large numbers of consultants—abandoning early commitments to occupational professionalism in favor of a corporate form. A key contribution of the paper is to develop a process model for understanding how and why CP emerges. We also highlight the need to pay more attention to the often neglected role of employing organizations in accounts of professional formation in contemporary society.
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How this classification was reachedexpand
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 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".