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Record W4406003583 · doi:10.46692/9781529234442.004

Being Woke to Anti-Intellectualism: Indigenous Resistance and Futures

2024· other· en· W4406003583 on OpenAlexaboutno aff
Bronwyn Carlson, Madi Day

Bibliographic record

Venuenot available
Typeother
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsFutures contractIndigenousIntellectualismResistance (ecology)Political scienceBusinessBiologyLaw

Abstract

fetched live from OpenAlex

Introduction Anti- intellectualism (the opposition or hostility to intellectuals or to intellectual pursuits) is a practice and a stance that continues to plague so- called Australian society. During the years of John Howard's Liberal conservative government (1996– 2007), the so- called ‘history wars’ reflected and defined such anti- intellectualism (Manne, 2009). This stance against Indigenous struggles used oppressive ideologies and sought to strengthen a colonial settler mindset via education and public discourse. The history wars intensified and legitimated the underlying racism that has long structured the national, bringing it openly into mainstream discourse once more (Attwood and Markus, 2007). For scholars of Indigenous studies in Australia, this anti- intellectual project poses significant impediments. Mainstream and social media re- readings or misrepresentations of identity politics have picked apart, debated and interrogated our cultural and other identities (Carlson, 2016). This turning point has had a significant regressive impact on anti- racist and decolonial literacies in all spaces of national public engagement. Despite changes in government, anti- intellectualism and the accompanying racism have not subsided, but rather lent themselves to the co- optation, distortion and redeployment by conservatives of terms originating from the left, such as ‘political correctness’ or ‘PC’ and, attacks on critical race theory (CRT). Most recently, they have been encapsulated by the populist mantra of ‘anti- woke’ culture. The anti- intellectualism of these projects works to distract from and dismiss collective movements that mobilize around demands for change. Traced to Black American blues singer Huddie William Ledbetter – known as Lead Belly – the term ‘woke’ appears in a brief discussion that follows their Smithsonian recording of the song ‘Scottsboro Boys’ in 1938, which tells the story of nine Black teenagers accused of sexually assaulting two white women (Lead Belly, 1936). The warning to ‘be careful … stay woke’ is a clear directive to Black people regarding the dangers of white supremacy. The onset of anti- woke culture – that is, opposition to anything perceived as ‘woke’ – has spread rapidly across campuses and public spaces in the United States, Australia, Canada and Europe (Rhodes, 2021 ; Pilkington, 2021).

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)0.005
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.028
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.045
Scholarly communication0.0110.009
Open science0.0020.009
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0140.001

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 head0.011
GPT teacher head0.301
Teacher spread0.290 · 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 designQualitative
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
Published2024
Admission routes1
Has abstractyes

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