Katrina, Cronulla Beach and France on Fire: An Anti-Colonial Critique of Empire in 2006
Bibliographic record
Abstract
With a focus on both the theoretical and practical implications of anti-colonial theory, this article discusses a number of conflicts that have brought the oppression of marginalized bodies to the forefront of mainstream media attention. The authors formulate an anti-colonial response to the human-made disasters in the Southern United States, France and Australia. While race is finally being taken up in the mainstream media with regard to these events, such coverage has largely involved strategic denials, powerful silences and re-invocations of dominant colonial and racial paradigms. The anti-colonial discursive framework looks to the voices of the oppressed and to the various forms of, and potentialities for, agency and resistance to guide its response to the social and discursive disasters discussed herein. Given the prominence of ‘post’ discourses in the academy, a resuscitation of the anti-colonial discourse is necessary in order to provoke action-oriented resistance-based responses to modern colonial practices.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.022 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".