Bibliographic record
Abstract
Pojam multikulturalizma u svojoj definiciji i opsegu i dalje izaziva prijepore. U Kanadi on oznacava službenu politiku uređenja međuetnickih odnosa u smislu priznavanja i afirmacije pluralizma i kulturne razlicitosti kao konstitutivnih elemenata kanadskog drustva. Kanada je prva službeno multikulturalna država, a kasnije joj se prikljucila jos samo Australija. Multikulturalisticka politika strukturira se kroz formalne inicijative na federalnoj, provincijskoj i lokalnoj razini. Multikulturalizam u Kanadi nastao je u trenucima politicke krize i polarizacije engleskog i francuskog dijela zemlje, ali s vremenom je zauzeo važnu ulogu u kanadskom drustvu i identitetu, usprkos smanjenom financiranju. Kanađani, pogotovo anglofoni, nacelno prihvacaju multikulturalizam i raznolikost u svome drustvu te su na iste ponosni, ali naglasak stavljaju na integraciji imigranata i njihovo prihvacanje kanadskih normi i vrijednosti. U tome se posebno istice provincija Quebec koja pokazuje da pristup multikulturalizmu nije unificiran na podrucju cijele Kanade. Usprkos službenoj politici multikulturalizma, u kanadskom drustvu i dalje su prisutni problemi poput zlocina iz mržnje, te opcenito diskriminacije i rasizma. Pritom su indigeni narodi manjina koja je u posebno losem položaju. Ipak, imigranti se osjecaju dobrodoslima u Kanadi, dobro su integrirani, sudjeluju u javnom i politickom životu, te su u konacnici ponosni na svoju zemlju. Istraživanja su pokazala je da je kanadska multikulturalisticka politika tome pozitivno doprinijela.
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.015 |
| Scholarly communication | 0.016 | 0.009 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.027 | 0.003 |
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".