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Record W2968688181

Smallholder sugarcane growers, indigenous technical knowledge, and the sugar industry crisis in Fiji

2019· dissertation· en· W2968688181 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueResearch Commons (University of Waikato) · 2019
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsnot available
FundersInternational Development Research CentreFiji National UniversityInternational Labour OrganizationUniversity of OxfordUniversity of Waikato
KeywordsIndigenousSugar industrySugarBusinessAgricultural economicsAgroforestryGeographyAgricultural scienceBiotechnologyEconomicsBiologyFood science
DOInot available

Abstract

fetched live from OpenAlex

This is a cross-disciplinary study that draws upon the agronomic, ecological, and social sciences to analyse the current crisis facing the sugar industry in Fiji. Its particular focus is the livelihood crisis facing the smallholder sugarcane growers, and it explores the potential of their local and traditional farming knowledge as a source of solutions for both crises. It argues, however, that present proposals for reforming the sugar industry in Fiji are wedded to the industrial agricultural paradigm and a globalized corporate food regime that is the source of the problems it currently faces and which threatens the future of the smallholder sugarcane farming system along with its local traditional knowledge. The thesis draws inspiration from Agroecology as an agricultural paradigm alternative to the conventional industrial paradigm to advocate for greater attention to be given to smallholder sugarcane growers and their local and traditional farming knowledge in seeking solutions to the crisis of the sugar industry in Fiji.
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\nTo explore these complex issues, the thesis adopts a cross-disciplinary, mixed-method approach. Participant observation, focus group discussions, and informal interviews with smallholder sugarcane farmers were used to elicit their views, feeling, thoughts and opinions on the Fiji sugar industry, their relationships with other sugar industry actors, and their own indigenous technical knowledge. Livelihood survey methods and agroecosystem analysis were used to gather quantitative data on household and farm status. This information was analysed using IBM® Social Science software: Statistical Package for Social Sciences (SPSS) and Microsoft® Office Excel Spreadsheet, to provide an up-to-date profile of livelihood and farming situation of smallholder sugarcane growers. Semi-structured interviews with industry stakeholders were used to identify the agricultural problems and socio-economic issues facing the industry and their differing views on the solutions proposed to solve them. Archival material was used to obtain information on past efforts of the sugar industry to develop solutions to problems at the local, national and international levels, and existing academic literature was reviewed for additional information on the contemporary situation of the smallholder sugarcane growers and the Fiji sugar industry as a whole.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.031
GPT teacher head0.269
Teacher spread0.238 · 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