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Record W3008047404 · doi:10.1017/sus.2020.2

Use your power for good: plural valuation of nature – the Oaxaca statement

2020· article· en· W3008047404 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.

Bibliographic record

VenueGlobal Sustainability · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Environmental Valuation
Canadian institutionsMcGill University
FundersBundesministerium für Umwelt, Naturschutz, Bau und ReaktorsicherheitVlaamse regeringUnited Nations Educational, Scientific and Cultural OrganizationStyrelsen för Internationellt UtvecklingssamarbeteGordon and Betty Moore Foundation
KeywordsPluralNormativeValuation (finance)SustainabilityLegislationEnvironmental ethicsSociologyEpistemologyPolitical sciencePositive economicsLaw and economicsBusinessEconomicsLawAccounting

Abstract

fetched live from OpenAlex

Non-technical abstract Decisions on the use of nature reflect the values and rights of individuals, communities and society at large. The values of nature are expressed through cultural norms, rules and legislation, and they can be elicited using a wide range of tools, including those of economics. None of the approaches to elicit peoples’ values are neutral. Unequal power relations influence valuation and decision-making and are at the core of most environmental conflicts. As actors in sustainability thinking, environmental scientists and practitioners are becoming more aware of their own posture, normative stance, responsibility and relative power in society. Based on a transdisciplinary workshop, our perspective paper provides a normative basis for this new community of scientists and practitioners engaged in the plural valuation of nature.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.159
Threshold uncertainty score0.413

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.102
GPT teacher head0.274
Teacher spread0.172 · 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