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Record W2033257692 · doi:10.4337/jhre.2012.02.05

Ecological responsibilities: which trees? Where? Why?

2012· article· en· W2033257692 on OpenAlexaff
Lorraine Code

Bibliographic record

VenueJournal of Human Rights and the Environment · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Philosophy and Ethics
Canadian institutionsRoyal Society of CanadaYork University
FundersUniversity of Illinois at Urbana-ChampaignUniversity of New England
KeywordsSituatedEpistemologyEthosPoliticsSociologyModalitiesEnvironmental ethicsEcologyPhilosophyLawSocial sciencePolitical scienceComputer science

Abstract

fetched live from OpenAlex

The author offers a provocative engagement with the implicit epistemological framework of Stone's famous question ‘should trees have standing?’, arguing for an epistemological remapping of the issues invoked by and implicit in it. Specifically, the author argues that the question of whether ‘trees’ do or should have standing is best understood as being ‘answerable situationally, locally, with reference to a specific society, ethos, and social-epistemic imaginary’ – for the question bears epistemological, moral-political and factual elements rendering it best understood as a ‘situated question’ – hence: ‘Which trees? Where? And to what ends?’ Answering Stone's question (thus reformulated) requires ‘knowing responsibly and well, ecologically – horizontally and not just vertically – the specific situations and meanings of the trees in question’. The author concludes that the emergence and effects of ecological thinking, with its ‘various and variously situtuated modalities’ suggests that ‘trees in diverse parts of the world in the early twenty-first are not the same trees Christopher Stone was writing about’.

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)0.006
metaresearch head score (Gemma)0.007
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: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.039
Scholarly communication0.0080.011
Open science0.0010.005
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.019
GPT teacher head0.238
Teacher spread0.219 · 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
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

Citations7
Published2012
Admission routes1
Has abstractyes

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