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Record W2166235862 · doi:10.1109/icsmc2.2003.1428999

Limitations to EMF exposure worldwide and the situation in Turkey

2003· article· en· W2166235862 on OpenAlexaboutno aff
N. Seyhan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicTransportation Systems and Safety
Canadian institutionsnot available
Fundersnot available
KeywordsLimitingPrecautionary principleChinaPolitical scienceBusinessEngineeringLaw

Abstract

fetched live from OpenAlex

Most of the national and international organizations have formulated guidelines establishing limits for occupational and residential EMF exposure. ICNIRP also developed the exposure limits for EMF. The international EMF project of WHO has completed a standards database limiting exposure to EMF. From this database it can be easily seen that the public safety level E field ranges between 3 V/m to 46.35 V/m for 900 MHz and between 6 V/m to 61.40 V/m for 1800 MHz. Some of the developed countries prefer to make their EMF standard as low as technically possible with "precautionary approach". For 900 MHz cellular phone frequency the E field limit value is 3 V/m in China, 3.88 V/m in Switzerland, 4 V/m in Italia, 0.614 V/m in Salzburg, Austria, 6.14 V/m in Bulgaria and Russia, and 10 V/m - 41.25 V/m in Turkey, 46.35 V/m in America, Canada and England and 41.25 V/m in other European Countries. Disparities in EMF standards around the world have now arisen the question that should all the countries take the precautionary approach into consideration. This symposium is valuable in discussing the approaches of all of the countries to the concept of limitations to EMF exposure worldwide and the precautionary approach together.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.034

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 studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.031
GPT teacher head0.226
Teacher spread0.196 · 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 designObservational
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

Citations0
Published2003
Admission routes1
Has abstractyes

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