The changing nature of managerial work: The effects of corporate restructuring on management jobs and careers
Bibliographic record
Abstract
This article analyses contemporary issues relevant to understanding the changing nature of management and managerial work. The argument is developed in four parts. First, to provide context, we offer an overview of the literature on the organization and control of managerial work, tracing contributions mainly from the early 1950s onwards. Second, we discuss the first of two related concerns relevant to understanding the contemporary nature of managerial work – strategies of organizational restructuring: an analysis highlighting the role of downsizing and delayering within corporate campaigns promoting ‘post-bureaucratic’ systems. Third, we extend this discussion by addressing how such corporate restructuring affects managers in their everyday work – notably in relation to the perceptions and realities of growing job insecurity and career uncertainty: an analysis that frequently draws upon our own investigations to establish an agenda for future research. The article concludes by summarizing the content of four research articles whose arguments relate to issues discussed in this analysis of managerial work.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".