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Record W4391419980 · doi:10.3138/9781487539528-009

Conclusion: Towards Informed Decision Making

2020· book-chapter· en· W4391419980 on OpenAlexfundaboutno aff
rosalind hampton

Bibliographic record

VenueUniversity of Toronto Press eBooks · 2020
Typebook-chapter
Languageen
FieldDecision Sciences
TopicComplex Systems and Decision Making
Canadian institutionsnot available
FundersMcGill University
KeywordsPolitical sciencePsychologyMedicine

Abstract

fetched live from OpenAlex

It is not the inherent responsibility of racialized people to educate white people about race or to "fix" the university.Nor, recalling the questions of the youth quoted at the outset of this book, do we study and teach within "white" universities to "impress white people."Black people attend McGill for a variety of reasons reflecting the wide range of cultural, class, national, political, and personal interests, commitments, and ambitions that we bring to academia.For well over half a century, universities have been sites of intense struggles, and Black students and teachers have often been at the forefront of social and political organizing and activism.The structures and practices of the Canadian university are deeply reflective of the settler colonial foundations of the nation, and the university remains deeply implicated in white settler nationalism and the transnational politics of globalization and neoliberalism.As this study demonstrates, the experiences and insights of Black students and faculty members across social, cultural, and political differences reveal the functioning of interlocking power relations of colonialism and racial capitalism, exposing the falsehoods of liberal ideology and myths of Canadian multiculturalism.Rather than "getting" an imagined "plethora of knowledge" from experts at podiums within the classrooms of the idealized elite university, there is a Black radical tradition at McGill, however small in scale, of students, faculty members, and activists committed to social justice coming together in dialogue and action to co-construct knowledge across disciplinary interests and activist campaigns.This work happens in a countless range of collective settings: in the offices of student groups and professors and the offices of the Daily; at the campus-community radio station, in local parks and cafés; in local Black community centres; at conferences and congresses; in one another's homes; in street demonstrations, rallies, and direct actions; occasionally, in classrooms.As Conclusion: Towards Informed Decision Making

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)0.071
metaresearch head score (Gemma)0.110
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: Other · Consensus signal: none
Teacher disagreement score0.071
Threshold uncertainty score0.376

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0710.110
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.003
Science and technology studies0.0060.022
Scholarly communication0.0250.017
Open science0.0070.015
Research integrity0.0140.013
Insufficient payload (model declined to judge)0.0430.012

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 head0.116
GPT teacher head0.332
Teacher spread0.215 · 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
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
Published2020
Admission routes2
Has abstractyes

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