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Record W7134710395

The World is in Better Shape than Most People Think

2019· article· W7134710395 on OpenAlexaboutno aff
E. Wesley F. Peterson

Bibliographic record

VenueLincoln (University of Nebraska) · 2019
Typearticle
Language
FieldSocial Sciences
TopicInnovation, Sustainability, Human-Machine Systems
Canadian institutionsnot available
Fundersnot available
KeywordsLife expectancyPer capita incomePer capitaGloomEconomic inequalityDemocracyStandard of livingQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Steven Pinker (2018, page 40) reports that “… large majorities in eleven developed countries said ‘the world is getting worse’ and in most of the last forty years a solid majority of Americans have said the country is ‘heading in the wrong direction.’” Recent polls conducted by the Pew Research Center show that Americans are pessimistic about the future (Gramlich, 2019) and that around the world many people are dissatisfied with the way democracy works in their countries (Wike et al., 2019). According to Twenge (2019), the level of happiness in the United States has been trending down for the past twenty years. Is all this gloom really justified? It is true that humanity faces grave challenges such as climate change and rising economic inequality and that basic human rights are violated every day in countries around the world. But if one steps back and takes a somewhat longer view of history, a case can be made that we’ve never had it so good. The data in Table 1 show that life expectancy at birth has more than doubled in many countries from between 25 and 40 years in 1800 to between 70 and 84 years in 2016. Increases in real (inflation-adjusted) per capita annual income have been even more dramatic rising from around $2,000 per person per year in 1820 in the United States and United Kingdom to $53,015 and $39,162 respectively in 2016. In Norway, real per capita income increased from $1,330 in 1820 to $76,397 in 2016 and real per capita income in South Korea is 75 times greater today than it was in 1820, 42 times greater than in 1920.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.005
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.009
GPT teacher head0.245
Teacher spread0.236 · 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 designObservational
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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