Bibliographic record
Abstract
This 4000 word entry to Routledge’s Handbook of Development Ethics (Jay Drydyk & Lori Keleher, eds., 2018) considers development within United States of America and Canada. Indigenous peoples and their nations are also featured. Canada and USA are both characterized by the UN Development Program as maintaining very high human development. Addressable weaknesses are nevertheless evident when performance is compared, for example, with OECD member nations. This entry focuses upon such comparison, noting characteristic political institutions and attendant social inequality in the areas of social welfare, education and health. The histories of both nations over the past half-century suggest that cultural shifts within USA have displaced the ethos of social responsibility that the country had previously shared with Canada, replacing it with an ideal of self-reliance. The turn may be a factor in the USA’s increasing inequality and general weakness in social welfare programs since the 1980s. Events since 2016 especially also display a turn towards another ideal of self-reliance: isolationism. USA’s reduction in global commitments – to open trade, to limits on environmental impact, and especially, to immigration – contrast greatly with Canada’s evolving commitment to a global society and to a cultural ideal of multiple non-assimilated cultures within its borders, including cultures of new immigrant populations. Canada is by many measures a more equal society, but it shares with USA continued failings in development for aboriginal groups and vulnerability for that group and others.
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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 | 0.003 | 0.009 |
| Science and technology studies | 0.020 | 0.005 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.029 | 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".