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Record W4409333639 · doi:10.5772/intechopen.1009945

Reconciliation through Art: The Power of Unmasking Identity

2025· book-chapter· en· W4409333639 on OpenAlexaboutno aff

Bibliographic record

VenueIntechOpen eBooks · 2025
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCritical Race Theory in Education
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)Power (physics)SociologyArtAestheticsPhysics

Abstract

fetched live from OpenAlex

The education system has established institutional hierarchies and perpetuated different forms of oppression that restrict the learning experiences of diverse students across Canada. Oppression is a significant problem within education. One of the ways that educators address and disrupt oppression within education is through reconciliation. By giving educators a chance to engage in reconciliation, they can learn about Indigenous ways of knowing, what reconciliation is, and build new relationships with their diverse students. By using arts-based practices, it can create a space where educators can experience a deep exploration and understanding of themselves and others by re-imagining lived experiences in and through time. By combining arts-based practices and reconciliation together, it gives educators the opportunity to develop awareness of their positionality, develop supportive environments, have critical conversations to promote reconciliation, be accountable to the diverse community, foster vulnerability, and develop allyship. Through critical artistic reflection on their practice in conjunction with learning reconciliation strategies, educators can learn to reflect on their practice in such a way that they become more aware of how to disrupt oppression within their classroom.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.478
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.036
GPT teacher head0.376
Teacher spread0.341 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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