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Record W3163218415 · doi:10.15173/a.v1i2.2820

MOVING TOWARDS AN AGE OF RECONCILIATION: SOCRATIC EDUCATION AS A MEANS TO RECONCILE WITH OUT SETTLER COLONIALIST HISTORY

2021· article· en· W3163218415 on OpenAlexaboutno aff
Gabrielle Maerov

Bibliographic record

VenueAletheia · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicIndian History and Philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousPraxisSocratic methodEconomic JusticeIdeologyRelation (database)PopulationState (computer science)SociologyThe RepublicEnvironmental ethicsParallelsPolitical scienceEpistemologyLawPoliticsPhilosophy

Abstract

fetched live from OpenAlex

The purpose of my paper is to examine the settler colonialist sentiments that are systemically intertwined within Canadian society in relation to Canada’s Indigenous population. In doing so, I aim to highlight that Canada’s practices and sentiments surrounding Indigenous people are unjust in nature. Furthermore, I demonstrate that the Platonic praxis in relation to those deemed “other” as well as the educational program geared towards that practice demonstrated in Plato’s Republic can guide Canadian society towards becoming a more just polis in relation to its practices of knowledge surrounding Indigenous peoples. To begin, I highlight that the current state of Canadian society, out of which a process of re-education may begin, parallels the starting point from which characters such as Thrasymachus and Polemarchus are re-educated in Plato’s Republic. I then delve into the educational process highlighted in The Republic itself, examining what this process might look like in Canadian society. Specifically, I discuss three steps Plato’s educational ideology that Canada can take in the pursuit of justice. My paper reaches the conclusion that if society is to be re-educated, our ideas of what it means for someone to be "other," and what it means to serve justice to the "other" must be shifted. Further, the process of reconciliation will be difficult and painful, yet ultimately it is our pathway towards a more just existence. Finally, I conclude that we must be accountable as individuals for the shifting of the settler colonialist fabric of our society.

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)0.009
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.595
Threshold uncertainty score0.816

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0460.076
Scholarly communication0.0170.008
Open science0.0020.012
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.054
GPT teacher head0.250
Teacher spread0.196 · 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
Published2021
Admission routes1
Has abstractyes

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