Sustainable Development of Human Resources Inspired by Chinese Philosophies: A Repositioning Based on François Jullien's Works
Bibliographic record
Abstract
ABSTRACT This paper provides a philosophical repositioning of human resource management (HRM) to further sustainable human resources development (HRD). We use a conceptual process, based on the work of French philosopher and Sinologist François Jullien. Despite its growing and diversified academic production, HRM research has become increasingly isolated from practice, from alternative views of human life, and from nature. This is at least partly due to its failure to self-question its Western centric roots. This paper describes some key conceptual innovations that deal with efficacy and ‘vital nourishment’ which are of particular interest for sustainable HRD. The question of how to feed life (or nourish it) in the workplace is illustrated by a gardening metaphor for managing human potential. In contrast to cross-cultural studies, this metaphor emerges from a dialogue between Western and Eastern philosophies, and offers alternative approaches to HRD based on some core insights from the Chinese tradition.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.016 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".