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Record W2045482626 · doi:10.1080/01435698.2000.9753020

A CONCEPTUAL MODEL OF WOODLAND USE AND CHANGE IN ZIMBABWE

2000· article· en· W2045482626 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Tree Crops Journal · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican studies and sociopolitical issues
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsWoodlandLivelihoodContext (archaeology)Conceptual modelEnvironmental planningConceptual frameworkGeographyEnvironmental resource managementSystem dynamicsNatural resource economicsBusinessEcologyEconomicsSociologyAgricultureComputer scienceSocial science

Abstract

fetched live from OpenAlex

ABSTRACT In this paper we use a conceptual box-and-arrow model for understanding woodland use in Zimbabwe in the context of the complex ecological-social-economic system of which it is part. Central themes within our model are: the policy framework; local institutions; land pressures; rural-urban relationships; the rise in tourism; increasing commercialisation of woodland products; drought; AIDS; and the status of the resource itself. We suggest that too little attention has been paid to the impacts of policy on woodland use and commercialisation, and that woodland use is seldom seen in the wider context of the entire household livelihood system. Conceptual models represent a tool for understanding the connections between the components of complex systems, but they need to be followed by more detailed simulation modelling, to understand both the dynamics of these systems and the possible outcomes of various interventions in them.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score0.662

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.123
GPT teacher head0.368
Teacher spread0.246 · 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