Bibliographic record
Abstract
Winston Churchill once said that history is written by the victors. This statement from Churchill highlights the challenge that marginalized local cultures face in the global world and how important parts of their cultural history can get left behind and forgotten in the drive for national prosperity in the global economy. This chapter focuses on the cultural tensions that arise when a technology rich culture threatens the sustainability of a technology poor culture. A pilot case study of cultural tensions between aboriginal people and dominant French and English Canadian populations. This pilot study explores how technoethical considerations are intertwined with historical, political, and social factors that have threatened the sustainability of aboriginal culture in Canada. Findings suggest that more attention must be invested to ensure that that globalization efforts by technology rich dominant cultures do not lead to the demise of technology poor marginalized cultures. Given the longstanding history and broad scope of aboriginal problems in Canada efforts to revive the cultural history and identity of aboriginal people is suggested as one option to help rebuild aboriginal trust and willingness to collaborate with dominant Canadian populations on global initiatives.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.031 | 0.011 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".