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Record W3045779454 · doi:10.4314/acsj.v28i2.11

Smallholder orange farmer access to markets in Uganda

2020· article· en· W3045779454 on OpenAlex
H. Kongai, Julius Mangisoni, G. Elepu, E. H. C. Chilembwe, Donald Makoka

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

VenueAfrican Crop Science Journal · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Innovations and Practices
Canadian institutionsnot available
FundersInternational Development Research CentreCarnegie Foundation for the Advancement of Teaching
KeywordsTobit modelOrange (colour)Agricultural economicsPer capitaProbit modelBusinessMarket accessConsumption (sociology)EconomicsSocioeconomicsAgricultural scienceAgricultureGeographyPopulationBiologyEnvironmental health

Abstract

fetched live from OpenAlex

Orange (Citrus sinensis L.) is a major dietary component globally, responsible for supplying nutrients and phytochemicals of biological and health influence such as minerals, vitamins, fiber, flavonoids, limonoids, and carotenoids and antioxidant. It accounts for more than 50% of the citrus fruits produced world-over. It is a popular fruit in sub-Saharan Africa, though its level of consumption per capita is by global standards very low. In Uganda, orange production is mostly concentrated in eastern and northern parts; mostly grown by small holder farmers who are plagued by a milliard of production and marketing constraints. The objective of this study was to evaluate the effect of institutional, infrastructural and socio-economic factors on smallholder access to orange markets in Uganda. The study was conducted in Kaberamaido, Kumi and Soroti Districts in eastern Uganda, using cross sectional data, during 2011-2012. Probit model results showed that the key institutional factor that affected smallholder access to markets was institutional belonging; the infrastructural factors entailed ownership of mobile phone and location of household; while age of household head, household size and output price constituted the socio-economic factors. Mobile phone, household size and age of household head elicited the highest effect on the probability for smallholder market access, and the magnitude of effect is shown by flexibilities of 0.5, -0.06 and 0.02, respectively. Tobit model estimates showed that market information, and household location constituted institutional and infrastructural factors affecting market access, respectively; while age of trees, output, output price and occupation of household head constituted the socio-economic factors. The critical factors that affect the extent of market access include location, market information, primary occupation of household head and quantity of output as shown by flexibilities of -0.6, 0.5, 0.5, and 0.03, respectively. Based on the Probit and Tobit model estimates, market information, mobile phone and quantity of outputs constitute critical institutional, infrastructural and socio-economic factors that affect smallholder market access. Therefore, opportunity for unlocking the potential for smallholders to access orange markets exists in boosting the level of output and facilitating linkage to markets. Key words: Citrus sinensis, infrastructural, institutional

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 categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.750
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.000
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 head0.088
GPT teacher head0.303
Teacher spread0.215 · 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