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Record W4206947851 · doi:10.33212/osd.v21n1.2021.40

The exploring difference workshop: group relations methodology to deepen anti-racist education in Toronto, Canada

2021· article· en· W4206947851 on OpenAlexaboutno aff
Janelle Joseph, Barbara Williams, Tanya Lewis

Bibliographic record

VenueOrganisational and Social Dynamics · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsnot available
Fundersnot available
KeywordsRacismMulticulturalismUnconscious mindEquity (law)SociologyContext (archaeology)Anti-racismEpistemologyGender studiesPedagogyPsychologyPolitical sciencePsychoanalysisHistoryLaw

Abstract

fetched live from OpenAlex

Though the Tavistock group relations paradigm is now more than seventy years old, its unique conceptualisation of unconscious group processes remains nonetheless essential for understanding and affecting this volatile, uncertain, complex, and ambiguous time. An adapted Tavistock group relations event called the Exploring Difference Workshop (EDW) takes place in the context of: 1) increasing attention to endemic racism within Canadian society; and 2) increasingly obvious limitations of dominant modes of anti-racism training framed within discourses of equity and multiculturalism. This article discusses new contributions group relations methodology can provide through the EDW to engage with the intractable and painful aspects of talking about racism in "the here and now". The article offers an analysis of key themes emerging from the workshops and the consultations supporting participants' learning about "difference" and self–other relationships. It proposes that the EDW enables deeper understanding of, and dialogue about, the (un)conscious processes affecting racism and anti-racism education, and offers a means for enhancing collaboration across difference in these times.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.857
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.070
GPT teacher head0.334
Teacher spread0.265 · 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
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

Citations2
Published2021
Admission routes1
Has abstractyes

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