Bibliographic record
Abstract
En dpit des similitudes entre les tats-Unis et le Canada, il existe des diffrences subtiles, mais palpables, entre les deux pays. Alors que les tats-Unis accueillent une population jamacaine beaucoup plus importante que celle du Canada -de respectivement 554 000 et 122 340 individus -les aires mtropolitaines de Miami et de Toronto ont des populations jamacaines comparables, de respectivement 94 691 et 93 315 personnes. Il existe cependant une diffrence de statut conomique entre les deux populations, mesure par les niveaux de revenus et d'ducation, tous deux plus levs Miami qu' Toronto. Le prsent travail tudie quelques-unes des raisons de ces divergences. Les politiques d'immigration, qui influent dans certains cas sur les possibilits d'emploi des immigrants et leur accs au march du travail, ont une grande importance pour le potentiel de mobilit socio-conomique ascendante.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 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; a candidate call from one teacher head, 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".