Making Connections Through Cultural Memory, Cultural Performance, and Cultural Translation
Bibliographic record
Abstract
This chapter addresses the need for making connections between and among cultures, especially Aboriginal and dominant cultures. It compares and contrasts three Aboriginal cultures: the Adnyamathanha people of South Australia, the Sechelt people of Canada, and the Paiwan people of Taiwan. It suggests that several themes need to be addressed: The first theme is cultural memory connections with land; The second theme is cultural performance: creating and living connections; The third theme is one of cultural translation: connections for art education. The cultural memory of the societies is based upon notions of responsibility rather than upon notions of rights. The cultural performances of Aboriginal peoples are deeply grounded in their relationships to the land. Cultural translation is about researching with people rather than on or about people. The chapter also attempts to show how cautiously and reflectively cultural translators must proceed when there are dramatic language and ideological differences among cultures.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.027 |
| Scholarly communication | 0.013 | 0.015 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 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".