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Record W26453839 · doi:10.1111/imm.12543

Educating the younger generation (and the public) in UV effects with a simple experiment

2013· article· en· W26453839 on OpenAlexfundno aff
Joanna Turner, Alfio V. Parisi, Nathan Downs

Bibliographic record

VenueImmunology · 2013
Typearticle
Languageen
FieldChemistry
TopicVarious Chemistry Research Topics
Canadian institutionsnot available
FundersNational Institute of General Medical SciencesCanadian Institutes of Health ResearchNational Institutes of HealthPhysicians' Services Incorporated Foundation
KeywordsSimple (philosophy)Presentation (obstetrics)Product (mathematics)Computer scienceUltraviolet radiationUltravioletEpistemologyPhysicsMedicineOpticsChemistryMathematics

Abstract

fetched live from OpenAlex

One of the key issues today with carrying across the message of the effects of ultraviolet radiation and its impact on people today, is providing a simple and effective means that is easy to understand for the younger generation and in turn the general public. There is a simple and easy to present experiment to explain this effect. The product is easy and safe to use, acts quickly for a fast effective presentation (being visible after minimal time and little processing) and can be used for very young children to explain what occurs when UV radiation is present around them. The product is a commercially available paper and is relatively cheap. The experiment itself is not new, and has been commonly presented in Chemistry experiments at University level, and more commonly used by artists and photographers. This presentation will detail how simple the experiment really is, and provide some new physical analysis on the product itself, which up until now has never been explored.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0290.005

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 head0.013
GPT teacher head0.255
Teacher spread0.242 · 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 designBench or experimental
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
Published2013
Admission routes1
Has abstractyes

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