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Lessons learned on lead poisoning in children: One‐hundred years on from Turner's declaration

2010· article· en· W2162817651 on OpenAlexaff
Mark Patrick Taylor, Carolyn A. Schniering, Bruce P. Lanphear, Alison L Jones

Bibliographic record

VenueJournal of Paediatrics and Child Health · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy Metal Exposure and Toxicity
Canadian institutionsBC Children's HospitalChild and Family Research InstituteSimon Fraser University
Fundersnot available
KeywordsMedicineLead poisoningIntervention (counseling)DeclarationEnvironmental healthLead smeltingArgument (complex analysis)Child healthLead (geology)Lead exposurePediatricsPsychiatryLawSmelting

Abstract

fetched live from OpenAlex

There is significant emerging evidence showing life-long negative health, intellectual and socio-behavioural impacts as a result of childhood blood lead concentrations well below the widely used intervention level of 10 µg/dL. This issue raises serious health concerns for children in several Australian smelting and mining towns. Routine educational and home cleanliness advice to wet mop floors rather than to use a brush and pan to reduce lead exposure risks have been shown to have limited efficacy. This paper argues, as advocated 100 years ago by Queensland doctor Alfred Jefferis Turner, that childhood lead poisoning can only be mitigated via primary prevention and reduction of contaminants at source. Given that the effects of lead exposure are irreversible, there is a strong argument for the application of the precautionary principle to dealing with childhood lead exposure. There is a clear need to improve regulatory controls and emissions management to reduce environmental lead exposure risks.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.386
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.027
GPT teacher head0.284
Teacher spread0.257 · 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 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

Citations46
Published2010
Admission routes1
Has abstractyes

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