Bibliographic record
Abstract
Cet article examine la possibilité de théoriser le capacity building et de lui conférer des accises scientifiques à partir de l’étude du cas de l’aéroport d’Ottawa. Le capacity building englobe un vaste éventail de pratiques et d’actions visant à créer des capacités nouvelles chez les individus, dans les organisations et dans les territoires concernés. Les aéroports constituent des vecteurs importants du développement économique des territoires sur lesquels ils sont implantés et contribuent au renforcement des capacités locales. Les activités du secteur de l’aviation agissent ainsi comme des leviers de construction de capacités à l’échelle locale, ce qui suggère l’existence d’un lien entre la performance des aéroports commercialisés et le dynamisme économique du territoire. Cette création de valeur locale est associée au concept du capacity building tel que les spécialistes du développement le conçoivent. Classification JEL : R49
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".