Career Prospects for Human Resource Management Professionals in Portugal
Bibliographic record
Abstract
The research conducted aimed to analyze the attitudes of human resource professionals towards managing their careers. The attitudes of protean and boundaryless careers were investigated, and the extent to which sociodemographic factors, such as salary, gender and academic degree, influence these attitudes. A total of 732 human resources professionals working as employees in private companies in Portugal participated in the study. The methodology involved a non-probabilistic convenience sampling approach, with a detailed survey covering dimensions like self-managed career attitudes, values-driven career attitudes, boundaryless career attitudes and mobility facilitating career attitudes. The results show that most professionals have protean and boundaryless career attitudes. Other research findings show that: (1) those with higher salaries have higher levels of protean and boundaryless career attitudes; (2) male professionals and (3) those with higher education show a higher prevalence of protean and boundaryless attitudes compared to female professionals and those with no higher education. This study sheds light on Portuguese HR professionals' career attitudes. The findings significantly contribute to our understanding of modern career concepts, suggesting avenues for future research.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".