Managerial Ideologies: Do They Matter?
Bibliographic record
Abstract
Ever since the rise of the joint-stock company in the early decades of this century and the separation of ownership and control (Berle and Means, 1932; Burnham, 1941), management has come to assume a position of critical importance in the capitalist world. While the management role is not confined to the supervision and control of labour, it is the major aspect of this role and most models give considerable prominence to managerial attitudes and ideologies as a determinant. Yet there has been little empirical research into these attitudes and ideologies. An important exception is the work of Canadian John Godard (Godard, 1996, 1997) who has attempted to determine their significance in relation to contextual variables to test Kochan, Katz and McKersie’s assertion about the role of ideology in shaping the all important "strategic " choices of management. Here in Australia, researchers from the IR&HRM Group at the University of Newcastle have surveyed over 120 organisations from both the public and private sector in an exploration of the relationships between organisational characteristics, workplace change and performance. As part of this survey, management attitudes were explored and testing of the responses has revealed links between managerial strategy and certain attitudes on the one hand and selected organisational characteristics on the other. Thus this research suggests that managerial ideology not only has some bearing on strategy but somewhat more than that found by Godard although further investigation is required to confirm this.
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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 | 0.012 | 0.036 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.009 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".