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Record W2578695135 · doi:10.5751/es-08999-220107

Making sense of environmental values: a typology of concepts

2017· article· en· W2578695135 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

VenueEcology and Society · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicSustainable Development and Environmental Policy
Canadian institutionsUniversity of British Columbia
FundersMinistry of Business, Innovation and Employment
KeywordsTypologyGeographyEnvironmental resource managementEnvironmental scienceArchaeology

Abstract

fetched live from OpenAlex

Debates about environmental values and valuation are perplexing, in part because these terms are used in vastly different ways in a variety of contexts. For some, quantifying human and ecological values is promoted as a useful technical exercise that can support decision-making. Others spurn environmental valuation, equating it with reducing ethics to numbers or "putting a price tag on nature." We make sense of these complexities by distilling four fundamental concepts of value (and valuation) from across the literature. These four concepts-value as a magnitude of preference, value as contribution to a goal, values as individual priorities, and values as relations-entail fundamentally different approaches to environmental valuation. Two notions of values (as magnitudes of preference or contributions to a goal) are often operationalized in technical tools, including monetary valuation, in which experts tightly structure (and thus limit) citizen participation in decision-making. This kind of valuation, while useful in some contexts, can mask important societal choices as technical judgments. The concept of values as priorities provides a way of describing individuals' priorities and considering how these priorities differ across a wider population. Finally, the concept of values as relations is generally used to foster deliberative forms of civic participation, but this tends to leave unresolved the final translation of civic meanings for decisionmakers. We argue that all forms of valuation-even those that are technical tools-constitute technologies of participation, and that values practitioners should consider themselves more as reflexive facilitators than objective experts who represent the public interest. We thus encourage debate about environmental values to pivot away from theoretical gridlock and toward a concern with citizen empowerment and environmental democracy.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.273
Teacher spread0.259 · 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