Réussir vos projets d’affaires en Afrique
Bibliographic record
Abstract
Les themes developpes dans ce livre montrent l'interet a faire des affaires en Afrique. Avec exemples et donnees sur les perspectives a l'appui, les differents chapitres amenent de maniere progressive et profonde le lecteur, fut-il entrepreneur ou investisseur, a operer un repositionnement strategique et immediat. Cet ouvrage est aussi concu pour etre un support de cours sur les affaires en Afrique. Ce livre repond aux questions essentielles de la gestion strategique internationale, a savoir?: pourquoi, comment, ou, avec qui et quand faire les affaires en Afrique ? De plus, il aborde de maniere detaillee les questions ayant trait aux caracteristiques de l'environnement des affaires africain, aux occasions d'affaires et aux situations concurrentielles de meme que la gestion des risques, les processus de planification et de gestion de l'exportation, de la sous-traitance internationale, de la co-entreprise internationale, du marketing mix, des ressources humaines, etc. A la suite de ces preoccupations, d'autres aussi importantes et particulieres, comme celle des defis ethiques, de la culture, du financement des projets d'affaires, etc., y sont etudiees. Ce livre est le fruit d'un ensemble d'activites realisees sur l'Afrique par huit membres de la Chaire Stephen-A.-Jarislowsky en gestion des affaires internationales de l'Universite Laval. La Chaire Stephen-A.-Jarislowsky en gestion des affaires internationales a pour role de promouvoir et de soutenir la recherche, la formation et le transfert des connaissances vers les organisations dans le domaine de la gestion internationale.
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 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 | 0.012 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.026 | 0.007 |
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".