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Record W2026699778 · doi:10.1002/ieam.1348

Pharmaceuticals and personal care products in the environment: Cultural and spiritual perspectives

2012· article· en· W2026699778 on OpenAlexaboutno aff
Rai S. Kookana, Bradley Moggridge, Roku Mihinui, B. Kirkman Gray, Grant L. Northcott, Alistair B.A. Boxall

Bibliographic record

VenueIntegrated Environmental Assessment and Management · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicPharmaceutical and Antibiotic Environmental Impacts
Canadian institutionsnot available
FundersSociety of Environmental Toxicology and Chemistry
KeywordsIndigenousSustenanceEnvironmental ethicsNatural (archaeology)Natural resourceCultural heritageResource (disambiguation)SociologyEnvironmental planningEnvironmental resource managementGeographyPolitical scienceEcologyEnvironmental scienceLaw

Abstract

fetched live from OpenAlex

The intent of Learned Discourses is to provide a forum for open discussion.These articles reflect the professional opinions of the authors regarding scientific issues.They do not represent SETAC positions or policies.And, although they are subject to editorial review for clarity, consistency, and brevity, these articles are not peer reviewed.The Learned Discourses date from 1996 in the North America SETAC News and, when that publication was replaced by the SETAC Globe, continued there through 2005.The continued success of Learned Discourses depends on our contributors.We encourage timely submissions that will inform and stimulate discussion.We expect that many of the articles will address controversial topics, and promise to give dissenting opinions a chance to be heard.Rules.All submissions must be succinct: no longer than 1000 words, no more than 6 references, and at most one table or figure.

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)0.006
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.019
Scholarly communication0.0080.007
Open science0.0010.006
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0030.000

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 head0.035
GPT teacher head0.322
Teacher spread0.287 · 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 designQualitative
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

Citations6
Published2012
Admission routes1
Has abstractyes

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