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Record W2009113104 · doi:10.5539/jsd.v3n4p74

Progressing a Sustainable-world: A Socio-ecological Resilience Perspective

2010· article· en· W2009113104 on OpenAlexvenueno aff
Don Clifton

Bibliographic record

VenueJournal of Sustainable Development · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicSustainability and Climate Change Governance
Canadian institutionsnot available
Fundersnot available
KeywordsHumanityFlourishingMainstreamResilience (materials science)Environmental ethicsSustainabilityTransformational leadershipSustainable developmentPsychological resiliencePerspective (graphical)SociologyEcologyPolitical sciencePsychologySocial psychologyComputer sciencePhilosophyLawBiology

Abstract

fetched live from OpenAlex

This paper identifies two approaches to how humanity might go about living sustainably, that is, for there to be a sustainable-world, namely; (a) the Reformist-approach, which is the current dominant sustainable-world approach consistent with mainstream sustainable-development, and (b) the Transformational-approach. The concept of socio-ecological-resilience is used to critique these two approaches to consider which is more likely to see the primary sustainable-world goal – the flourishing of life, incorporating human and ecological wellbeing, maintained over an indefinite time frame – achieved. The results suggest that Reformism is challenging to believe as a credible pathway for humanity. Instead, Reformism is shown, in a number of important respects, to undermine the resilience of the socio-ecological-systems on which human and ecological wellbeing depends. A more determined effort to fully implement the Reformist-approach will not solve these problems – the approach is, in a number of key respects, inherently resilience eroding and self-defeating. The Transformational-approach is instead shown to be more consistent with socio-ecological-resilience principles and is, in this respect, a preferred sustainable-world approach for humanity to pursue.

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 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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.209
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.259
Teacher spread0.250 · 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 teacher head, not a consensus.

Study designQualitative
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

Citations19
Published2010
Admission routes1
Has abstractyes

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