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Record W640574399

Contemporary issues in the sociology of race and ethnicity : a critical reader

2013· book· en· W640574399 on OpenAlexaboutno aff
George J. Sefa Dei, Meredith Lordan

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsCognitive reframingRacismGeorge (robot)Critical race theorySociologyGender studiesCritical theoryRace (biology)Ethnic groupArt historyAnthropologyArtPolitical sciencePsychologyLawSocial psychology
DOInot available

Abstract

fetched live from OpenAlex

Contents: George J. Sefa Dei/Meredith Lordan: Introduction - George J. Sefa Dei: Reframing Critical Anti-Racist Theory (CART) for Contemporary Times - Meredith Lordan: The Race to Self: Critical Anti-Racism Theory in a Global Change Era - heory in a Global Change Era - Lessons from Rio+20 - the United Nations Conference on Sustainable Development - Paul Banahene Adjei: When Blackness Shows Up Uninvited: Examining the Murder of Trayvon Martin through Fanonian Racial Interpellation - Philip S. S. Howard: The Smack of Self-Determination: A Fanonian Analysis of the Africentric Schooling Debate in Toronto - Shaun Chen: Schooling, Interrupted: What France's Last Sociologist Might Have Said about Canada's First Black-focused School - Brandy Jensen: Race Erased? Arizona's Ban on Ethnic Studies - Preeia Surajbali: Situating My Standpoint: My Relationship to Black Feminist Thought as an Indo-Caribbean Canadian Woman of Color - Jozef Konyari: Understanding the Pathology and Cure for Euro-Colonial Whiteness: A Psychological, Behavioral, and Systemic Analysis - Mairi McDermott/Marlon Simmons: Embodiment and the Spatialization of Race - Kathleen Conroy: Black Males and Exclusionary Schooling Practices: 'Common-Sense' Racism and the Need for a Critical Anti-Racist Approach - George J. Sefa Dei/Meredith Lordan: Conclusion: Where Does Critical Anti-Racism Theory Lead Us? Considering Educational, Policy, and Community Implications.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.416
Threshold uncertainty score0.980

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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.139
GPT teacher head0.456
Teacher spread0.317 · 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.

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

Citations27
Published2013
Admission routes1
Has abstractyes

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