Kanadako aniztasun kulturalaren kudeaketa: estatuaren multikulturalismotik Quebec-eko kulturartekotasunera
Bibliographic record
Abstract
[EU] Kanadako estatuaren sistema, gizartea eta bere funtzionamenduan murgilduko gara, bertako multikulturalitatea \nezagutzeko. Era berean, demokrazia multikulturala bermatzeko estatuan bideratzen diren lege, proiektu eta \npolitika desberdinak aztertuko ditugu. Multikulturalismoaren babes konstutuzionalarekin eta arrazoizko \nmoldaketen aplikapenarekin, bateragarriak bilakatzen dira justizia-arauak eta multikulturalismoaren berezko \naniztasuna aitortzeko eskakizunak. Hala ere, Kanadako estatuan babes judizial hau eskuratzen den arren, \nkulturaniztasunaren babesa kolokan jartzen hasten da Quebec-en arrazoizko moldaketen krisialdia ematen denean. \nQuebec Kanadaren barruan aurkitzen den probintzia berezia da; besteak beste, hizkuntza, kultura, ohitura propioak \ndituenak. Horrela, Quebec-eko gizartearen jatorria eta eztabaiden oinarrira joko dugu, Bouchard-Taylor \ntxosteneko azterketak islatuz. Bouchard-Taylor txostena eratzen da, arrazoizko moldaketen inguruan huts egin \ndena ulertzeko eta bere aplikazioaren inguruan galdutako bake soziala berreskuratzeko irtenbideak emateko.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.028 | 0.002 |
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".