The Mäori All Blacks and the Decentering of the White Subject: Hyperrace, Sport, and the Cultural Logic of Late Capitalism
Bibliographic record
Abstract
In this article we examine a range of media discourses surrounding the continued existence of the Mäori All Blacks, a “racially” selected rugby side, and a specific public controversy that erupted in New Zealand over the selection of former All Black great Christian Cullen for the Mäori All Blacks in 2003. Having never played for the Mäori All Blacks or publicly identified as Mäori, Cullen claimed tangata whenua status via whakapapa (genealogical connection) to his Ngäi Tahu grandfather. We argue that Cullen’s selection emerged as a contentious issue because of the fragmentation that the inclusion of his “Whiteness” within the confines of “an Other” team (i.e., the Mäori All Blacks) brought to bear on traditional colonial binaries of race in the context of late capitalism. Finally, we locate the debates over Cullen’s selection and the continued existence of the Mäori All Blacks in relation to the current racialized political climate that has fueled a Right-wing reaction to the growing Mäori self-determination movement.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.042 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".