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The Next 50 Years: Fatal Discontinuities

2005· article· en· W1964957921 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePopulation and Development Review · 2005
Typearticle
Languageen
FieldMedicine
TopicZoonotic diseases and public health
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsNatural disasterTerrorismPoliticsClassification of discontinuitiesGeographySubject (documents)PandemicVolcanoDevelopment economicsHistoryPolitical scienceEconomicsCoronavirus disease 2019 (COVID-19)GeologySeismologyMeteorologyLawComputer scienceMedicine

Abstract

fetched live from OpenAlex

Modern civilization is subject to gradual environmental, social, economic, and political transformations as well as to sudden changes that can fundamentally alter its prospects. This article examines a key set of such fatal discontinuities by quantifying the likelihood of three classes of sudden, and potentially catastrophic, events—natural disasters (the Earth's collision with nearby asteroids, massive volcanic eruptions and mega-tsunami generated by these events, as well as by huge landslides); viral pandemics; and transformational wars—and by comparing their likelihood with other involuntary risks (including terrorism) and voluntary actions and exposures.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.990
Threshold uncertainty score0.283

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.051
GPT teacher head0.332
Teacher spread0.281 · 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