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Record W6987573393

Sustainable livelihoods in Kalahari environments a contribution to global debates

2002· article· en· W6987573393 on OpenAlexaboutno aff

Bibliographic record

VenueRePEc: Research Papers in Economics · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicArchaeology and Rock Art Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLivelihoodSustainabilityNatural resourceContext (archaeology)Natural resource managementTheme (computing)Relevance (law)
DOInot available

Abstract

fetched live from OpenAlex

This edited collection provides a comprehensive overview of the dynamics of contemporary natural resource based livelihoods and implications for their sustainability in the context of the Kalahari environment of southern Africa, a region subject to marked spatial and temporal natural variability. Each chapter is written by an active Kalahari researcher and addresses, from an environmental or a social perspective, the implications of different policies for rural livelihoods and coping strategies. In each chapter one or more of the key tenets of environment, policy and structural land use change provides the central element around which the sustainable livelihoods theme is considered. Although the focus of the book is the Kalahari, introductory and concluding chapters, in turn, contextualise the research and discuss key enviro-development issues which resonate across the individual chapters with relevance for wider global debates. Contributors to this volume - David S.G. Thomas, University of Sheffield Deborah Sporton, University of Sheffield Chasca Twyman, University of Sheffield Jeremy S. Perkins, University of Botswana G. Stuart-Hill, World Wide Fund, Namibia B. Kgabung, University of Botswana Andrew Dougill, University of Leeds Robert K. Hitchcock, University of Nebraska - Lincoln Jacqueline S. Solway, Trent University, Peterborough, Ontario

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.773
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.019
GPT teacher head0.318
Teacher spread0.299 · 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 designObservational
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

Citations1
Published2002
Admission routes1
Has abstractyes

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