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The Permaculture Alternative and Its Potential for Addressing Global Food Scarcity

2025· book-chapter· en· W4413224674 on OpenAlexaff
Timothy C. Leech

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEnvironmental, Ecological, and Cultural Studies
Canadian institutionsWindsor Clinical Research
Fundersnot available
KeywordsPovertyGlobeSustainabilityEnvironmental ethicsScarcityEnvironmental planningAgricultureEngineering ethicsPolitical scienceGeographyEngineeringEcologyEconomicsPsychologyBiology

Abstract

fetched live from OpenAlex

Abstract This chapter provides a brief explanation of permaculture – a nature-based design system that offers the opportunity to establish productive, regenerative, ecologically inspired landscapes in contrast with chemical-dependent monocultures of conventional industrialized agriculture. It specifically explores the ways that permaculture has the potential to address many of the United Nations Sustainable Development Goals (UNSDGs). Of the several UNSDGs that permaculture can address, the most central are UNSDG 1: No Poverty and UNSDG 2: No Hunger. Prior to exploring permaculture’s application to addressing the UNSDGs, the chapter offers a definition of permaculture as well as discussing its origins, history, and application across the globe. The chapter concludes by discussing existing barriers to wider adoption of permaculture techniques, offering suggestions for how to overcome these barriers, and points to the need and opportunity for further research. While it is not widely studied by the scientific community, permaculture offers a fascinating and elegant approach to solving many problems of global sustainability. It is worthy of serious examination and consideration.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.847
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 studies0.0030.000
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 head0.054
GPT teacher head0.312
Teacher spread0.258 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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