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Record W2145816081 · doi:10.1353/foc.2012.0006

Prevention of Disability in Children: Elevating the Role of Environment

2012· article· en· W2145816081 on OpenAlex
Stephen Rauch, Bruce P. Lanphear

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Future of Children · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsChild and Family Research Institute
Fundersnot available
KeywordsEnvironmental healthFocus (optics)Public healthPsychologyMedicinePublic relationsGerontologyPolitical scienceNursing

Abstract

fetched live from OpenAlex

Much public attention and many resources are focused on medical research to identify risk factors and mitigate symptoms of disability for individual children. But this focus will inevitably fail to prevent disabilities. Stephen Rauch and Bruce Lanphear argue for a broader focus on environmental influences that put entire populations at risk. They argue that identifying and eliminating or controlling environmental risk factors that incrementally increase the prevalence of disability is the key to preventing many disorders. Rauch and Lanphear examine emerging evidence that many disabilities of childhood have their roots in the environment--from toxins in air, water, and soil, to the stressors of poverty, to marketing practices that encourage unhealthy choices or discourage healthy ones. They review research on well-known environmental causes of disability, such as exposures to lead, cigarette smoke, and industrial air pollution. They point to new evidence suggesting that chemicals found in commonly used plastics may have subtle but serious effects on child development, and that many disabilities spring from the complex interplay of environmental risk factors and genetic susceptibility. Rauch and Lanphear make a case for turning our attention to societal or population-level interventions that would rely less on medical and genetic technology and more on policies and regulations that would reduce children's exposure to ubiquitous environmental risks. Examples include required testing of new chemicals for developmental toxicity before they are put on the market; zoning regulations that separate residential communities from industrial areas; and restrictions on advertising of unhealthy products, such as tobacco, alcohol, and junk foods, to children. Rauch and Lanphear outline and assess the effectiveness of interventions that could be adopted, and suggest what a healthy modern community might look like. Such interventions, they acknowledge, are likely to be highly controversial, require both long-term investments and shifts in societal thinking, and produce less well-defined outcomes than individual medical treatments. But in the long run, the authors contend, such interventions could prevent many of the disabilities that now afflict millions of children and adults.

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)0.000
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 score0.024
Threshold uncertainty score0.614

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.252
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