Improving the Process of Adjudicating TN Status
Bibliographic record
Abstract
In 1994, pursuant to NAFTA, the TN (for “Trade NAFTA”) labor-mobility provision was established. The TN concept was intended to meet the goal of “facilitating temporary entry on a reciprocal basis and of establishing transparent criteria and procedures for temporary entry” amongst the three NAFTA countries. For Canadian citizens seeking temporary work of a professional nature in the U.S., TN status created an alternative to the H-1B program, which was established in 1990. The process of gaining TN status was meant to be simpler than that of acquiring H-1B status, and no cap on the number of TN workers was imposed. The parties to NAFTA also sought to “protect the domestic labor force and permanent employment in their respective territories,” and consulted labor experts to help devise the list of professional categories eligible for TN status (as well as the required qualifications of such professionals).
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 | 0.424 | 0.501 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.016 | 0.007 |
| Science and technology studies | 0.016 | 0.009 |
| Scholarly communication | 0.017 | 0.017 |
| Open science | 0.008 | 0.019 |
| Research integrity | 0.012 | 0.023 |
| Insufficient payload (model declined to judge) | 0.015 | 0.009 |
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".