MétaCan
Menu
Back to cohort
Record W4280558633 · doi:10.1186/s13570-022-00234-8

A typology of smallholder livestock production systems reflecting the impact of the development of a local milk collection industry: Case study of Fatick region, Senegal

2022· article· en· W4280558633 on OpenAlex
Ernest Habanabakize, Koki Ba, Christian Corniaux, Patrick Cortbaoui, E. Vasseur

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

VenuePastoralism Research Policy and Practice · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Rural Development Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsLivestockLivelihoodBusinessTypologyProduction (economics)AgricultureMarket accessProductivityMarketingAgricultural scienceAgricultural economicsEnvironmental resource managementEconomicsEconomic growthGeography

Abstract

fetched live from OpenAlex

Abstract Senegal is a country where millions of livelihoods directly depend on smallholder livestock production activities. Unfortunately, these farmers now face the effects of a changing climate and associated societal responses. In addition, the lack of understanding of the specific farmers’ problems in their respective production systems by assuming homogeneity has led to inappropriate planning of interventions and inefficient utilization of resources. The variations in individual farming systems and local contexts require to understand each system separately to inform decision-makers and relevant stakeholders about specific entries of intervention for farmers based on customized needs. Using a Fatick region case study, different statistical clustering techniques were adopted to develop a livestock typology that reflects the above realities. This typology confirmed the co-existence of three livestock production cluster systems with differences and similarities in their production targets and quantities, market access, animal breeds, and the livestock management system of the animals. The studied region represented a new format of smallholder livestock development, where the implementation of a dairy processor and its milk collection centre created a new dynamic in production activities. Farmers confirmed that the extension services and a consistent market opportunity provided by the dairy processor increased local productivity and offered an alternative source of income but they have also reiterated concerns like the dairy processor’s low milk buying prices which need to be addressed. To harness the growth and the regional opportunities, there is a need to establish robust and continuous collaboration structures between the Government, agro-industries, and producers. These public-private partnerships will help producers lower the cost of inputs and services and increase productivity while boosting local dairy production.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.412
Threshold uncertainty score0.926

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.252
GPT teacher head0.446
Teacher spread0.194 · 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