“Under Erasure”: Suppressed and Trans-Ethnic Māori Identities
Bibliographic record
Abstract
The questions raised by Māori identity are not static, but complex and changing over time. The ethnicity known as “Māori” came into existence in colonial New Zealand as a new, pan-tribal identity concept, in response to the trauma of invasion and dispossession by large numbers of mainly British settlers. Ideas of Māori identity have changed over the course of succeeding generations in response to wider social and economic changes. While inter-ethnic marriages and other sexual liaisons have been common throughout the Māori-Pākehā relationship, the nature of such unions, and the identity choices available to their descendants, have varied according to era and social locus. In colonial families, the memory of a Māori ancestor was often deliberately suppressed, and children were encouraged to deny that part of their history and “become” European New Zealanders: a classic form of what we call “trans-ethnicity.” From a Māori perspective, the relationship with Pākehā has been marked by a series of losses: loss of land, language, social cohesion, even loss of knowledge of whakapapa (genealogy). This article explores this last form of loss, which leads to “suppressed” Māori identities, and possible effects of attempting to recover such lost Māori identity rights.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.020 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".