„Zabić Indianina w dziecku”. O kulturowym ludobójstwie w Kanadzie i sprawiedliwości tranzycyjnej z Kate Korycki rozmawia Anna Zawadzka [“Kill the Indian in the Child.” On cultural genocide and transitional justice in Canada. Kate Korycki in an interview by Anna Zawadzka]
Bibliographic record
Abstract
“Kill the Indian in the Child.” On cultural genocide and transitional justice in Canada. Kate Korycki in an interview by Anna ZawadzkaThis is an interview with Kate Korycki on the reparations for the native population in Canada for what the Canadian government defined as “cultural genocide.” Kate Korycki was born in Warsaw and has lived in Toronto for 25 years. Until 2006 she worked for the Canadian Government in a ministry delivering federal social programs, like unemployment insurance and pensions. Her last job involved the implementation of the Common Experience Payment. This was the largest government program to offer reparations for the wrongs suffered by the indigenous population in Canada in residential schools, which were run for 150 years by the Catholic and Unitarian Churches. The schools have recently been characterized as sites of cultural genocide.Kate Korycki is completing her doctorate in political science at the University of Toronto. She holds an MA in Political Science from McGill University. Her broad research agenda concerns the politics of identity, belonging, and conflict. In her doctoral work she is concentrating on the politics of identity in time of transition. „Zabić Indianina w dziecku”. O kulturowym ludobójstwie w Kanadzie i sprawiedliwości tranzycyjnej z Kate Korycki rozmawia Anna ZawadzkaAnna Zawadzka przeprowadza wywiad z Kate Korycki na temat odszkodowań przyznanychrdzennym mieszkańcom w Kanadzie za to, co rząd kanadyjski określił mianem „kulturowego ludobójstwa”. Kate Korycki urodziła się w Warszawie i mieszka w Toronto od 25 lat. Do 2006 roku pracowała dla rządu kanadyjskiego, w ministerstwie spraw społecznych, takich jak bezrobocie czy emerytury. Jej ostatnia funkcja polegała na wdrożeniu „Zadośćuczynienia Wspólnego Doświadczania” (Common Experience Payment). Ten program był najszerszym gestem władz federalnych w postaci rządowych reparacji za krzywdy wyrządzone w szkołach rezydencyjnych wobec rdzennych mieszkańców w Kanadzie. Szkoły te były prowadzone przez 150 lat przez Kościół katolicki i unitariański. To właśnie działalność tych szkół została określona mianem kulturowego ludobójstwa.Kate Korycki pisze doktorat z nauk politycznych na Uniwersytecie w Toronto, po magisterium na Uniwersytecie Mcgill. Jej zainteresowania skupiają się na polityce tożsamości, przynależności i konflikcie.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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".