Bibliographic record
Abstract
A dead child" said stalin "is a tragedy.Two million are a statistic."A single photograph of a beach riveted world attention, converting syrian refugees from statistics to tragedy.But the statistics remain.Three Canadian columnists have offered contrasting interpretations.Eric Reguly argues that a static and aging Europe needs more manpower to sustain its economy.margaret Wente, however, observes the failure of integration of migrants in sweden.migrants are drawn by open borders and a generous welfare state, but do not fit an advanced, high-skill economy.Gwynne dyer notes that current inflows, If evenly distributed, are a tiny proportion of the overall European union.But economic migrants from Africa are a much larger issue.Their numbers are effectively inexhaustible. Résumé« une mort est une tragédie, disait staline, un million de morts est une statistique.» La photographie prise sur une plage a captivé l' attention du monde entier, faisant passer de statistique à tragédie le sort des réfugiés syriens.mais la statistique demeure une réalité.Trois chroniqueurs canadiens ont présenté des interprétations divergentes.Eric Reguly affirme qu'une Europe statique et vieillissante a besoin de plus de main-d' œuvre pour soutenir son économie.margaret Wente, par contre, rappelle l' échec de l'intégration des migrants en suède.Les migrants sont attirés par les frontières ouvertes et l'état providence, mais ne trouvent pas facilement leur place dans une économie hautement développée et spécialisée.Gwyn dyer, pour sa part, fait remarquer que le nombre actuel de migrants ne représente qu'une infime proportion de l' ensemble de l'union européenne, si on les distribue uniformément.mais les migrants économiques provenant d' Afrique représentent un enjeu beaucoup plus important.En effet, leur nombre est incommensurable. Migrants, Manpower and Math in the Coming EuropeMigrants, main-d' œuvre et mathématiques dans l'Europe de demain
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 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".