Québec in North America : Exporting to the United States in the New Security Context : The Case of CLIC Import-Export
Bibliographic record
Abstract
This note addresses security at the U.S. border and its effects on Québec exports. It is based on interviews with Québec officials and with the CEO of CLIC Import-Export, a Québec-based trader of Middle Eastern and Asian products. CLIC illustrates the ongoing problems for Québec companies on the Québec-U.S. borders. Indeed, the new regulations imposed by the U.S. Homeland Security on the U.S. borders with Canada have affected CLIC's exports to the United States, leading to millions of dollars in losses. These regulations also imposed a change in the way CLIC imports products from third world countries before shipping them to the United States. These countries' lack of C-TPAT certification caused CLIC to lose some of its U.S. markets, although it did start implementing all U.S. imposed regulations from Canada.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.019 | 0.003 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 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".