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War, Work, and Want

2023· book· en· W4386139375 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

Venuenot available
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGeopoliticsIndustrialisationPolitical scienceDevelopment economicsPoliticsTerrorismImmigrationMiddle EastSpanish Civil WarEconomyGeographyPolitical economyEconomics

Abstract

fetched live from OpenAlex

Abstract The book explains why migration to the United States, Europe, and Asia tripled after 1973. Today, global migration is at a historic high of over 280 million people. Mass migration has transformed international and domestic politics. Such migration is not only unprecedented; it was—at least in the global north—unexpected and unwanted. Publics across Europe, North America, and Asia oppose immigration, and events in the early 1970s should have led to a decline in migration. Instead, global migration tripled. The book asks why. It argues that economic and geopolitical changes unleashed by the OPEC oil crisis led to an unanticipated surge in global migration. Economically, the quadrupling of oil prices halved growth rates in the West, they never recovered, and wages have stagnated for five decades. In response, consumers rebuilt their standard of living on the back of cheap migrant labor. At the same time, OPEC flooded the Middle East and Russia with oil money, destabilizing Iran, ushering in the Iranian Revolution, contributing to Moscow’s 1979 decision to invade Afghanistan, and leading to the two Gulf Wars. In the non-oil-producing states, Egypt and Syria, OPEC-induced inflation put the last nail in the coffin of import substitution industrialization (using tariffs to industrialize), forced a turn to neoliberalism, and led to inequality, mass protests, terrorism (Egypt), and civil war (Syria). These simultaneous economic and geopolitical developments, all set in motion by the OPEC oil crisis, resulted in 115 million migrants that few in the global north expected or wanted.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.217
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0020.009

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 head0.036
GPT teacher head0.191
Teacher spread0.155 · 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