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Record W4323538758 · doi:10.33137/ic.v36i2.40628

A Didactic Shift: Indigenous Studies Teaches an Italian Canadian about Being Italian

2023· article· en· W4323538758 on OpenAlexaffvenueabout
Margherita Piazza

Bibliographic record

VenueItalian Canadiana · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical theory and Gramsci
Canadian institutionsToronto Public Health
Fundersnot available
KeywordsIndigenousColonialismIdeologyEthnologyAcculturationIdentity (music)Gender studiesSociologyGratitudePaternalismEthnic groupAnthropologyEnvironmental ethicsPolitical scienceLawAestheticsSocial psychologyPhilosophyPsychology

Abstract

fetched live from OpenAlex

To Indigenous Nations, place is fundamental to one’s iden­tity, language, and worldview. More than a geographical location, place reflects a sacred relationship that grounds them in their worldview of inclusivity, equity, and gratitude, and acts as a central role in the forma­tion of identity. Eurocentric ideology is diametrically opposite to Indig­enous values and beliefs. This is clearly evident in the Indian Act, a law designed to annihilate Indigenous languages and identity/culture and one that reflects the colonizer’s paternalistic and racist ideology. Both Italian Canadians and Indigenous Nations have experienced assimila­tion and acculturation. Both peoples have confronted the challenges of displacement. Yet, to fully live on this land and solidify our sense of belonging here, Italian Canadians have an obligation to be knowledge­able of Turtle Island’s colonial past and in doing so support Indigenous efforts to decolonize.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.148
Threshold uncertainty score0.427

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0240.014
Scholarly communication0.0050.002
Open science0.0020.004
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0110.002

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.

Opus teacher head0.074
GPT teacher head0.382
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes3
Has abstractyes

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