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Record W2227707199

La Guerra Nuclear contra Irán

2006· article· es· W2227707199 on OpenAlexaff
Michel Chossudovsky

Bibliographic record

VenueAmericanae (AECID Library) · 2006
Typearticle
Languagees
FieldSocial Sciences
TopicScience, Technology, and Education in Latin America
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

Con información geopolítica sumamente reciente, este impactante ensayo analiza los profundos riesgos del estallido de una confrontación nuclear en el marco del Proyecto para un Nuevo Siglo Americano. Revela las alianzas geoestratégicas que, a diferencia de la intervención en Irak, donde EU generó la oposición diplomática de Francia y Alemania, viene desarrollando Washington desde la OTAN, hacia Occidente, con París y Berlín y, hacia Oriente, con múltiples países mediterráneos, para avanzar, con Israel y Turquía como sus socios permanentes, en los preparativos de una guerra contra Irán que, bajo el simulacro de un ataque preventivo para el mantenimiento de la paz mundial, ahora va construyendo un “consenso” que le permita hacer uso no sólo de armas convencionales sino también nucleares. Se trata de un penetrante ensayo decisivo para entender las tendencias geopolíticas del siglo XXI.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.100
Threshold uncertainty score0.200

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.003
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0240.002

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.

Opus teacher head0.006
GPT teacher head0.263
Teacher spread0.257 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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
Published2006
Admission routes1
Has abstractyes

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