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Record W2119003463 · doi:10.2307/jj.41003764.21

Are There Any Natural Resources?

2004· article· en· W2119003463 on OpenAlexaff
Peter Brown

Bibliographic record

VenuePrinceton University Press eBooks · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Ecology, and Ethics
Canadian institutionsMcGill University
Fundersnot available
KeywordsArgument (complex analysis)ReverenceCommonwealthNatural (archaeology)EpistemologySociologyHonorEnvironmental ethicsNatural lawPositive economicsPhilosophyLawPolitical scienceEconomicsHistoryComputer science

Abstract

fetched live from OpenAlex

Local and regional environments have for many centuries been seen as, or as being composed of, ''natural resources,'' which have generally been considered fully available for human use, irrespective of any use to which other species, purposefully or not, might put them. The global environment has more recently, though less routinely, been seen in this way. I examine full-human-use arguments in three widely credited philosophical traditions: the Judeo-Christian-liberal, the Aristotelian-Cartesian-rationalist, and the utilitarian or neoclassical economic. I find each tradition's full-human-use argument unsatisfactory. I then discuss, and ultimately recommend, an alternative, an all-species-use argument based on Albert Schweitzer's much admired but seldom adopted reverence-for-life ethic. I find revealed by this alternative argument a previously unnamed good, one worthy of honor, protection, and enlargement; I call this good ''the commonwealth of life.'' In conclusion, I consider important implications of accepting commonwealth-of-life reasoning, including foundational changes in ethics.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.014
Scholarly communication0.0040.007
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0120.002

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 head0.036
GPT teacher head0.269
Teacher spread0.233 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations16
Published2004
Admission routes1
Has abstractyes

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Same venuePrinceton University Press eBooksSame topicReligion, Ecology, and EthicsFrench-language works237,207