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Record W2917430185 · doi:10.3389/fmars.2019.00053

Introducing Relational Values as a Tool for Shark Conservation, Science, and Management

2019· article· en· W2917430185 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFrontiers in Marine Science · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicIchthyology and Marine Biology
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaGovernment of CanadaSociety for Conservation BiologyUniversity of Miami
KeywordsValue (mathematics)AcknowledgementTourismStatistical relational learningSociologyConstructiveIdentity (music)Public relationsProcess (computing)Political scienceComputer scienceRelational database

Abstract

fetched live from OpenAlex

Relational values are values that arise from a relationship with nature, encompassing sense of place, feelings of well-being (mental and physical health), and cultural, community, or personal identities. With sharks, such values are formed by diverse groups that interact with these animals and their ecosystems, either physically or virtually, whether scientist, student, fisher, or media-consumer. Further, these user groups may overlap or conflict over management plans, media portrayals of sharks, and their conservation status. Although scientists have not explicitly aimed to assess relational values through sharks, qualitative studies of shark fishers, tourism operators, tourists, and the public, as well as historical and archaeological accounts, can be interpreted through an analytical lens to reveal values which can also be defined as relational. To this end, this review considers studies capturing relational values alongside those on economic value (increasingly, sharks’ value is appraised by their financial value by way of shark tourism) and the social and cultural roles of sharks. Based on these studies and the broader relational values literature, we then outline a workflow for how relational values can be leveraged in scientific inquiry, equitable resource management, and education. We conclude that via collaborative assessments of relational values, with implicit inclusion of all values from sharks and acknowledgement of their importance of to all parties involved in user conflicts, the relational values framework can lead to constructive dialogue on polarizing conservation and management issues. By illuminating shared values, and/or revealing dichotomies of values ascribed towards certain areas or objects, this framework can provide inroads to mediation, seeking to conserve or even restore relationships with nature and their derived values insomuch as is possible. This approach can yield unexpected knowledge, solutions, and compromises in an increasingly complex conservation landscape.

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)0.000
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 score0.367
Threshold uncertainty score0.773

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0000.001
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 head0.005
GPT teacher head0.219
Teacher spread0.214 · 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