2016
DOI: 10.1111/cuag.12061
|View full text |Cite
|
Sign up to set email alerts
|

Towards a General Theory of Agricultural Knowledge Production: Environmental, Social, and Didactic Learning

Abstract: Social scientists and input producers alike have seen farmer decision making as driven by environmental learning based on experimentation and empirical observation. A more robust body of theory influenced by behavioral ecology sees a major role for social learning based on emulation of models selected on social criteria, although the relationship between these learning modes is not well understood. But a larger problem is that these perspectives ignore what is here termed didactic learning, whereby various par… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
41
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
7
2

Relationship

1
8

Authors

Journals

citations
Cited by 53 publications
(63 citation statements)
references
References 65 publications
0
41
0
Order By: Relevance
“…Indeed, sample farmers replanted their cotton seeds an average of only 1.77 times in 2012–2015, preventing them from learning much about any particular seed's efficacy in the field or the agronomic quirks of those seeds. Farmers wishing to test different seed brands have been seen to unwittingly plant the exact same seed (Figure ), whereas spurious seeds bred by counterfeit companies and sold by black‐market brokers add even more anxiety and confusion to the dynamics of deskilling in cotton agriculture (Stone, , pp. 7–8).…”
Section: Methods and Fieldworkmentioning
confidence: 99%
“…Indeed, sample farmers replanted their cotton seeds an average of only 1.77 times in 2012–2015, preventing them from learning much about any particular seed's efficacy in the field or the agronomic quirks of those seeds. Farmers wishing to test different seed brands have been seen to unwittingly plant the exact same seed (Figure ), whereas spurious seeds bred by counterfeit companies and sold by black‐market brokers add even more anxiety and confusion to the dynamics of deskilling in cotton agriculture (Stone, , pp. 7–8).…”
Section: Methods and Fieldworkmentioning
confidence: 99%
“…Empirical trials of GM crops suffer from a selection bias in the farmer sample as a whole, they argue, and are therefore a poor indicator of the broader impacts of GM crops. Social scientists have noted that the earliest adopters of any technology are likely to have more resources and to be more cosmopolitan than others in the community (Rogers, 2003;Ryan and Gross, 1943), because the institutional support given to such early adopters can help to underwrite the costs of using new technology (Stone, 2016). Critical researchers agree that yields can and should be measured, but they disagree on whose yields are most representative.…”
Section: Debates and Contested Scholarship In Gm Research In Indiamentioning
confidence: 99%
“…We might think of these mediators and interpreters as analogies to the chorus of classical Greek theatre, or the narrator of a documentary film. In the context of agricultural development, Stone calls these people and their organisations 'didacts', who represent off-farm interests that aim to influence farmers' practices (Stone 2016).…”
Section: The Audiencementioning
confidence: 99%