Human Resource Management in the Context of Organizational Change. Management, Articulations, Tendencies and Stakes: The Case of COREM, a Quebec Research Consortium in the Mineral Industry
Bibliographic record
Abstract
During last century, Human Resource Management underwent, in both its theoretical and practical applications, deep changes considered by some as a revolution. These mutations are primarily characterized by a questioning of the Fordist and Taylorist models of work organization, which were typified by the metaphor of the human motor. Today, it is a new paradigm of human capital management, based on human assets of employees along with their needs, motivations, safety and security, that is essential and which the old Personnel Management can't initialize, control, manage and assume adequately. During the last decades, a rich and diverse literature and a number of empirical studies have examined the bidirectional relations between the structure of property and the performance of the firm (in terms of good human resource management practices) and led either to the thesis of neutrality or non-neutrality. In this paper we examine the relationship between privatization and human resource management practices. The results of our investigations show that the process of transferring property from public to private ownership has a significant impact on human resource management strategies. This seems to support the emergence of a more flexible, less formalized and centralized system, where the actor's development is considered an important determinant of company performance and where human resource specialists appear less as zealous stewards than supporters of social life within the organization. Lastly, we suggest that privatization is not a panacea and that the best human resource management practices are those which are renewed unceasingly and which support the sense of collectivity while adapting the company strategies to its environment. ISBN-2-89524-194-5
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.021 | 0.018 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".