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Record W2144615358 · doi:10.1186/2048-7010-1-s1-s1

What is trust?: perspectives from farmers and other experts in the field of agriculture in Africa

2012· article· en· W2144615358 on OpenAlex
Obidimma Ezezika, Jessica Oh

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAgriculture & Food Security · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsPublic Health OntarioUniversity of TorontoUniversity Health Network
FundersUniversity of TorontoUniversity Health NetworkBill and Melinda Gates Foundation
KeywordsHonestyGeneral partnershipPublic relationsContext (archaeology)AgricultureBusinessFace (sociological concept)MarketingPolitical scienceSociologyPsychologySocial psychologyGeographySocial science

Abstract

fetched live from OpenAlex

Agricultural biotechnology public-private partnerships (PPPs) have been recognized as necessary for improving agricultural productivity and increasing food production in sub-Saharan Africa. However, there are issues of public trust uniquely associated with PPPs involved in the development of genetically modified (GM) crops. Insight into how trust is understood by agbiotech stakeholders is needed to be able to promote and improve trust among actors comprising agbiotech PPPs. This study aimed to explore how stakeholders from the agricultural sector in sub-Saharan Africa understood the concept of trust in general as well as in the context of agbiotech PPPs. Our data collection relied on sixty-one semi-structured, face-to-face interviews conducted with agbiotech stakeholders as part of a larger study investigating the role of trust in eight agbiotech projects across Africa. Interview transcripts were analyzed to create a narrative on how trust is understood by the study’s participants. Responses to the question “what is trust?” were diverse. However, across interviewees’ responses we identified six themes. In order to build and foster trust in a partnership, partners reported that one must practice integrity and honesty; deliver results in an accountable manner; be capable and competent; share the same objectives and interests; be transparent about actions and intentions through clear communication; and target services toward the interests of the public. Participants reported that trust is either a very important factor or the most important factor in the making or breaking of success in agbiotech PPPs. The six themes that emerged from the interview data form a concept of trust. We thereby propose the following definition of trust in the context of agricultural biotechnology: an expectation held by an individual that the performance and behaviour of another will be supported by tangible results; facilitated by competency and transparency; grounded in a shared vision; and guided by integrity and an interest for the common good. This definition sheds light on important elements that agbiotech stakeholders believe should be present for trust to exist among members of agbiotech PPPs, for whom this definition can serve as a guide for building more effective partnerships.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score0.327

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.012
GPT teacher head0.223
Teacher spread0.211 · 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