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Record W4309045172 · doi:10.31468/dwr.997

Introduction: The CWCA/ACCR Conference on Transformative Inclusivity

2022· article· en· W4309045172 on OpenAlexaffvenueabout
Srividya Natarajan, Lisa Kovac

Bibliographic record

VenueDiscourse and Writing/Rédactologie · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Science and Policy Research
Canadian institutionsThe King's University
Fundersnot available
KeywordsTransformative learningPolitical scienceSociologyPedagogy

Abstract

fetched live from OpenAlex

The CWCA/ACCR annual conference with the theme of Transformative Inclusivity was to have been held in London, Ontario, in May 2020. By April 2020, it became clear that gathering in person was not viable, and the conference was postponed to 2021. Across the world, 2020-2022 were the years of the pandemic, which made us acutely aware of bodily vulnerability as well as of ableism at the individual, governmental, and institutional levels. Across the world, but especially in the North American context, these were also the years that saw a revival of antiracist energy, in the wake of the grassroots protests sparked by the murder of George Floyd by American police, and by multiple similar incidents of white supremacist violence. In Canada, the discovery of unmarked graves in the homeland of the Tk'emlps te Secwpemc Nation corroborated the narratives of residential school survivors and forced many settlers to finally acknowledge the realities and ongoing impacts of the genocide perpetrated on Indigenous Peoples in this country. In London, Ontario, where the editors of this special section live, in June 2021, four members of the Afzaal family were murdered for being racialized and Muslim by an angry white man.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
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 score0.709
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.202
GPT teacher head0.500
Teacher spread0.298 · 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

Citations0
Published2022
Admission routes3
Has abstractyes

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