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Record W2911019733

USA and Canada: high income maldevelopment

2019· article· en· W2911019733 on OpenAlexaboutno aff
Éric Palmer

Bibliographic record

VenuePhilPapers (PhilPapers Foundation) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsMaldevelopmentMedicineAnatomy
DOInot available

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.796
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.008
GPT teacher head0.228
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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