The Attribution of Self Amongst Australian Family Farm Operators: Personal Responsibility and Control
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.
Bibliographic record
Abstract
Australian agriculture is dominated both numerically and in terms of production by family owned and operated farm enterprises. Many family farmers struggle to maintain farm viability amidst the ongoing commitment to a trade liberal paradigm in Australian agricultural policy. Significantly, governmental neoliberal discourses insist on Australian farmers taking personal responsibility and control for any socio-economic hardship or farm viability problems they face and down play structural explanations. In this article we argue that the intent of this discourse, if internalised by individual family farm operators, creates the potential for self-blame where fanners “fail”. To investigate this argument, open-ended responses from a survey of farmers in a NSW rural local government area were examined using an extension of attribution theory from social psychology. The analysis identifies how individual family farm operators have actually engaged with these discourses and the extent to which the attributions these discourses encapsulate are replicated, transformed, or contested. Areas for future research, including impacts of attributions on family farm operators’ psychological health, are discussed.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it