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Record W2747561750 · doi:10.11159/rtese17.2

Silent Spring revisited: Trends in Environmental Engineering and Sciences, from the 1960s to Today

2017· article· en· W2747561750 on OpenAlexaff
Lynda H. McCarthy

Bibliographic record

VenueProceedings of the International Conference of Recent Trends in Environmental Science and Engineering · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicWater-Energy-Food Nexus Studies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsSpring (device)EngineeringEnvironmental scienceComputer scienceEngineering ethicsMechanical engineering

Abstract

fetched live from OpenAlex

While Silent Spring was responsible for bringing the massive environmental issues of the post-war world to the attention of the voting public, scientists and engineers had been concerned for decades about pollution from radioactive fall-out, indiscriminate spraying of pesticides, and unsafe drinking water. This concern led to the formation of the most powerful environmental regulatory agency in the world, the United States Environmental Protection Agency (USEPA), an organization whose scientists and engineers and sociologists and economists have been tasked to figure out policies to save "Spaceship Earth". Today, the formidable knowledge and power represented by the USEPA are under threat of being destroyed and the very strategies that have helped to make the North American environment the envy of the world are in grave danger of being dismantled. In understanding the historical underpinnings, we can attempt to move forward with sustainable solutions.

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)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.008
Science and technology studies0.0050.012
Scholarly communication0.0140.019
Open science0.0010.005
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.0190.003

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 head0.024
GPT teacher head0.230
Teacher spread0.206 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2017
Admission routes1
Has abstractyes

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