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Record W4229989019 · doi:10.2307/3061048

Science and Sustainable Use: Views of Marine Turtle Conservation Experts

2002· article· en· W4229989019 on OpenAlexaff
Lisa M. Campbell

Bibliographic record

VenueEcological Applications · 2002
Typearticle
Languageen
FieldPsychology
TopicAnimal and Plant Science Education
Canadian institutionsWestern University
Fundersnot available
KeywordsTurtle (robot)WildlifeConservation psychologyVariety (cybernetics)Marine conservationPoliticsWildlife conservationResource (disambiguation)Conservation biologyEnvironmental ethicsEnvironmental resource managementWicked problemConservation scienceEnvironmental planningPolitical scienceSociologyEcologyGeographyEconomicsBiodiversityLawBiology

Abstract

fetched live from OpenAlex

Sustainable use is central to contemporary conservation policy as espoused by many of the major wildlife conservation organizations and is one indicator of a shift in policy away from exclusionary practices restricting access toward more inclusive ones that involve some form of resource use. As with many policies, sustainable use in theory may encounter problems in transition to practice. Problems arise based on the biology of the species or system in question and on the dynamics of the economic, social, political, and cultural systems that guide or regulate use. As a result of these problems, and of other moral and philosophical objections, opponents of applying the concept of sustainable use to wildlife are many. Based on in-depth interviews conducted with 38 conservation experts in 1995, this paper examines the views of a specific group of conservation experts (those interested in marine turtle biology and/or conservation) on the commercial consumptive use of marine turtles and their eggs. Results reveal a variety of positions on use, all of which were justified on scientific grounds. Key characteristics distinguishing between interviewees were how they dealt with uncertainty and their assumptions about economics and commerce. While denying the role of “other” issues in influencing their own opinions, experts saw opposing views as influenced by emotions. Beyond the immediate world of marine turtle conservation, results presented and conclusions reached may be indicative of the wider challenges posed by commercial use of wildlife, regardless of the species in question.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.828
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.084
GPT teacher head0.327
Teacher spread0.243 · 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.

Study designTheoretical or conceptual
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

Citations4
Published2002
Admission routes1
Has abstractyes

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