Bibliographic record
Abstract
Ce chapitre met en évidence le caractère pionnier du travail d’Emmanuel Kamdem à la fois comme enseignant et comme chercheur dans le champ des études organisationnelles, depuis plus de quarante ans. À partir d’une lecture rétrospective des principales problématiques qui ont animé l’analyse des organisations sur le continent africain, il cherche à mettre en perspective la richesse et la pertinence des travaux d’Emmanuel Kamdem, lesquels ont tourné autour de la recherche d’un enseignement africain enraciné, de la compréhension des paradoxes, des singularités et des difficultés de la recherche en contexte africain, du temps de travail, de la culture, de l’interculturalité, de la gestion de la diversité et du rôle de la sorcellerie dans la gestion en Afrique noire. Cette abondante production scientifique, en proposant également des alternatives crédibles pour l’Afrique noire et le Cameroun en particulier, a permis à Emmanuel Kamdem de devenir une figure incontournable sur le continent africain par son travail, son enseignement et ses recherches dans le champ des études organisationnelles et de la gestion.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.020 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".