Organizational Career Management: Researching at Managerial Philosophy level
Bibliographic record
Abstract
The research on organizational career management is much less than career self-management. There are several taxonomies on dividing organizational career management, but lack at Philosophy level. At managerial Philosophy level, the enterprise can accept not only collectivism or individualism but also equilibriumism value. With collectivism or individualism value, what the enterprise develops is non-systematic organizational career management. While with equilibrium value, the enterprise may develop systematic career management. Key words: Equilibriumism, Career development, Organizational career management Resume: Les recherches sur la gestion organisationnelle de carriere sont moins nombreuses que celles sur l’auto-gestion de carriere. Il y a plusieurs categories de gestion organisationnelle de carriere, mais au niveau philosophique il n’y en a pas. Au niveau philosophique de la gestion, l’entreprise peut accepter non seulement le collectivisme ou l’individualisme, mais aussi la conception de valeur d’equilibrisme. Avec le collectivisme ou l’individualisme, ce que l’entreprise developpe est la gestion organisationnelle de carriere non-systematique. Alors avec l’equilibrisme, l’entreprise peut developper la gestion systematique de carriere. Mots-Cles: equilibrisme, developpement de la carriere , gestion organisationnelle de carriere, gestion systematique de carriere, gestion organisationnelle de carriere non-systematique
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".