International symposium on Māori and Indigenous Screen Production - He Whare Tapere
Bibliographic record
Abstract
This is an overview of the International Symposium on Māori and Indigenous Screen Production held at AUT Marae, December 4-5, 2010. The Symposium provided a platform for Māori, Pasifika and other Indigenous film-makers, academics and industry leader to share their work and develop strategies for the future of indigenous screen production. International guests included: Alanis Obomsawin, Neil Diamond and Jobie Weetaluktuk from Canada, Dr. Romaine Moreton and Jenny Fraser from Australia. Prominent New Zealand film-makers and writers included Patricia Grace, Gaylene Preston, Rowley Habib, Briar Grace-Smith, Larry Parr, Sima Urale, Katie Wolfe, Whetu Fala, Rawiri Paratene, Ainsley Gardiner and over one hundred others. Academics included Dr. Rachel Wolfgramm, Dr. Ocean Mercier, Dr. Sue Abel, Professor Judith Pringle and other conducting cutting-edge research on Māori and Indigenous Screen Production. It was the first time such an august and diverse group had come together under such an umbrella.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.006 |
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; both teacher heads agree on what is shown here.
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".