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Analysis of the media coverage characteristics on radiation safety issues of the Saint-Petersburg and the Leningrad region population

2017· article· en· W2747223115 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRadiacionnaâ gigiena · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicComputational and Text Analysis Methods
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperSaint petersburgPopulationQuarter (Canadian coin)Qualitative analysisGeographyMass mediaLibrary scienceAdvertisingRussian federationComputer scienceQualitative researchBusinessRegional scienceSociologyDemographyArchaeologySocial science

Abstract

fetched live from OpenAlex

The purpose of the study was to examine the quantity and quality of publications on radiation safety of the population in the media on the example of Saint Petersburg and the Leningrad region for the period of the first three-quarters of 2016. An analysis of publications in the media is an essential part of the work on the formation of an adequate perception of the radiation risk by the population. The Information and Analytical Centre of Rospotrebnadzor on radiation safety of the population developed a pilot computer-assisted system for the media publication analysis. The study was performed by this system as a development and improvement of the Center’s works applicable to the registration, storage, and analysis of qualitative and quantitative information contained in the publications. The author selected 27 mass-media sources for analysis: 8 newspapers (2 of them are located in Sosnoviy Bor); 8 TV-channels (4 – federal, 2 – regional, 2 – local in Sosnoviy Bor); 10 online media and the web-site of the Sosnoviy Bor administration. During the analyzed period, 1075 informational materials on issues of radiation safety were collected and added to the database. The largest number of publications were in the second quarter of 2016. The peak of publication activity on issues of radiation safety was registered in April. This fact is related to the 30th anniversary of the Chernobyl accident. A significant part (over 50%) of the publications were neutral in all media and in different types of media. A significant part of the publications is a brief informational note with the neutral nature of the character of the information. The number of materials with negative character of information among the publications on the subject of “radioactive waste” is more than 2 times larger than that for the publications on the subject of “nuclear energy”. The majority of publications belongs to the information genre. Analytical materials are a minor part and range from 1.6% to 8 % depending on the type of media. The testing of the computer-assisted system on the media publications analysis has shown its efficiency in terms of speed and agility of analysis and remote maintenance of the database, the possibility of further use it to analyze publications in media at the organization and optimization of risk communication in regions of the Russian Federation.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.423
Threshold uncertainty score0.922

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.026
GPT teacher head0.326
Teacher spread0.301 · 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