Engaging with Tapa and Ngatu
Bibliographic record
Abstract
The making and gifting of koloa faka-Tonga (women’s valuables, also known as koloa) has been an integral part of Tongan identity and culture for as long as anyone can remember. Working collaboratively on tapa and ngatu provides space for discussions and understanding, and reflections of Tongan identity and culture. The practice of gifting koloa has continued outside of the Kingdom of Tonga as Tongans migrate for new opportunities, including Aotearoa New Zealand (henceforth Aotearoa NZ). Using two different examples, this article will explore, through talatalanoa, how Tongan family partnerships working with tapa/ngatu in contemporary ways are sites of intergenerational knowledge sharing through art practices in Aotearoa NZ. Sulieti Burrows and Tui Emma Gillies are a mother-daughter partnership of tapa artists who work and reside in Aotearoa NZ and use their time together to share stories and make tapa works depicting what concerns them in contemporary society. Also residing in Aotearoa NZ, Lavinia and Fire Fonua are a mother-son partnership who turn koloa into contemporary personal adornment, alongside Fire’s wife, Sonia. In this article, the four Tongan authors’ reflections on inter-generational knowledge sharing and practices related to koloa making and gifting are described and illustrated using examples of their work. Their diverse stories also reflect on Tongan material culture, and Tongan identity, and demonstrate how working on practices that centre koloa provides opportunities to consider what it means to be Tongan in Aotearoa NZ, and how Tongan ways of being, knowing, and doing are valued as tu’atonga.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.011 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".