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Record W2134089843 · doi:10.1162/152039706775212067

A Fusion Bomb over Andalucía: U.S. Information Policy and the 1966 Palomares Incident

2005· article· en· W2134089843 on OpenAlexaff
D. J. Stiles

Bibliographic record

VenueJournal of Cold War Studies · 2005
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeological Research and Protection
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPayload (computing)GeographyPolitical scienceEconomyEnvironmental protectionComputer securityComputer scienceEconomics

Abstract

fetched live from OpenAlex

The fiery mid-air collision of two U.S. Air Force planes in January 1966 caused a payload of hydrogen bombs to fall on the countryside near the village of Palomares in the southern Spanish region of Andalucía. Although no nuclear explosions resulted, the incident scattered small amounts of radioactive material. A more serious problem, however, was the loss of one of the hydrogen bombs in the nearby waters of the Mediterranean Sea. During the prolonged period in which U.S.military teams worked to recover the missing bomb, government of ficials hastily cobbled together an information policy to deal with members of the press. Their efforts were almost not enough to quell rising concerns in Spain and in other European countries. The Palomares incident is an excellent historical illustration of the need for a versatile information policy that can be organized and set into action almost immediately after a sensitive military incident.

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)0.002
metaresearch head score (Gemma)0.007
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: Empirical · Consensus signal: none
Teacher disagreement score0.334
Threshold uncertainty score0.664

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.004
Scholarly communication0.0080.002
Open science0.0010.003
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.017
GPT teacher head0.285
Teacher spread0.268 · 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
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

Citations7
Published2005
Admission routes1
Has abstractyes

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