La collaboration internationale: un element essentiel dans la conception des programmes de formation en sécurité aeroportuaire
Bibliographic record
Abstract
Sommaire: Cet article explique la façon dont les informations provenant de la coopération internationale sur la prévention du terrorisme influencent le design des programmes de formation des agents de contrôle préembarquement à 1'Administration canadienne de la sûireté du transport aerien (acsta). 11 expose comment l'integration de ces informations a conduit au développement d'une méthodologie de formation qui suit les principes de la formation par compétences. Cette réflexion marque Ie cinquiéme anniversaire de la fondation de I'acsta et le sixiéme des attentats du 11 septembre 2001. Les auteurs présentent les grands enjeux de la sécurité aéroportuaire, les contraintes et opportunités du contexte international, ainsi que les méthodologies et stratégies utilisées dans le programme de formation. Abstract: This article describes how information provided by the international community influences the design of training programs for airport security officers at the Canadian Air Transport Security Authority (catsa). It explains how the integration of this information was instrumental in selecting a training program that follows the principles of a competency‐based methodology. This review coincides with the fourth anniversary of the creation of catsa and the fifth of the tragedy of September 11th, 2001. The authors identify major airport security issues, opportunities and constraints dictated by the international context, and the main strategic and methodological alternatives.
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 | 0.023 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.023 |
| Scholarly communication | 0.014 | 0.011 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".