Between Harmony and Conflicting Interests: Gendered Marital Negotiations in Hungarian Post-socialist Farm Family Enterprises
Bibliographic record
Abstract
This paper explores decision making processes in farm families with off farm working wives in post socialist Hungary based on an interview material with ten farm families. Decision making concerning issues of consumption and production is seen as a key arena for the articulation of gender relations within the farm family. Farm families with the husband being the head of the enterprise and the wife having an off farm wage labour constitute a specific case. Off farm incomes, in Hungary, played a crucial role in the capital accumulation phase of the farms. As previous research indicated, off farm incomes often constitute an integral part of the overall farm strategy. Off farm working wives contribute to the reproduction of the farm enterprise in diverse ways, such as through direct participation in the farm labour, through their reproductive labour and by releasing the farm from supplying consumption expenses by bringing in additional assets. Meanwhile, the economic boundaries (i.e. ownership of assets and economic liability) of the family farm are intimately interwoven with the family as a reproductive, kinship and consumption unit. This paper explores family relations as formed along dynamics of power (i.e. of equality vs inequality) and dynamics of solidarity (focus on individual autonomy vs processes strengthening couple relations). With roots in the capability approach participation in decision making is seen as an expression of the ability to voice, negotiate and or enforce initiatives grounded in individual interests.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".