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Record W2038203106 · doi:10.1080/13698570903329466

Danger from above? A quantitative study of perceptions of hazards from falling rockets in the Altai region of Siberia

2010· article· en· W2038203106 on OpenAlexfundno aff
Barbara Profeta, Natalia Goncharova, I. Kolyado, Yuryj V. Robertus, Martin McKee

Bibliographic record

VenueHealth Risk & Society · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsnot available
FundersMcMaster UniversityLondon School of Hygiene and Tropical Medicine
KeywordsGeneral Health QuestionnaireDistressEnvironmental healthPsychologyPsychological distressFalling (accident)Mental healthScale (ratio)DemographyGeographyMedicinePsychiatryClinical psychologyCartographySociology

Abstract

fetched live from OpenAlex

Russian rocket launch sites are inland, unlike their European and American equivalents. Those living near to fallout zones from the Baikonur cosmodrome have expressed concern about apparent high levels of psychological ill health, which they attribute to the launches, linking it to either fear of falling debris or contamination by fuel residues. The aim of the research study on which this article is based was to quantify and explain the reported ill health, relating it to exposure to, concern about, and information on the launches. Drawing on literature on social amplification of risk, a quantitative survey was conducted among 1111 adults living in three areas around the fallout area. Psychological symptoms were measured on the SCL-90 scale, with mental health assessed using the GHQ-20. Relationships were assessed using regression and path analysis. The main findings were that those people living closer to the fallout area were no more likely to have symptoms but were more concerned about launches. Prompted concern was associated with distress, assessed by SCL-90 scores (but not consistently with GHQ-20) and seemed to amplify the association between other adverse perceptions of life and symptoms. There is a high level of distress in this region but it is not obviously associated with exposure to launches. In contrast, the existing process of communicating information appears to increase concerns and thus distress.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score0.812

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.049
GPT teacher head0.392
Teacher spread0.344 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations6
Published2010
Admission routes1
Has abstractyes

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