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Record W2596881984 · doi:10.31542/j.ecj.42

Striving for Sustainability: The Contribution of Paul Johnston to Conservation Biology

2012· article· en· W2596881984 on OpenAlex

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueEarth Common Journal · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicConservation, Ecology, Wildlife Education
Canadian institutionsMacEwan University
Fundersnot available
KeywordsEnvironmental ethicsSustainabilityReputationBattleAction (physics)SociologyPolitical scienceSocial scienceEcologyHistoryBiology

Abstract

fetched live from OpenAlex

Paul Johnston, the lead scientist with Greenpeace International, combines scientific knowledge with public debate and awareness campaigns to work towards environmental change and sustainability. Opposed by numerous people internationally, Paul Johnston is in a constant battle to change negative public perceptions of Greenpeace and their scientific endeavors such as reviews and specific studies. Through his position with Greenpeace and as a credited biologist with a PhD in selenium toxicity in aquatic invertebrates he has been involved in numerous international conferences both with public organizations and industry. Paul Johnston has built up a reputation through his tireless efforts and, regardless of criticisms of actions or stances he may take, his dedication to his beliefs and beyond that the fact that he backs his claims with real world action demands respect in the fight against environmental degradation. There are few people who have not heard of Greenpeace and Paul Johnston's contributions in raising public awareness of environmental issues is important should society have a chance of changing.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.075
Threshold uncertainty score0.369

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
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)0.0000.000

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 head0.016
GPT teacher head0.293
Teacher spread0.277 · 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