The relationship between household structures and everyday adaptation and livelihood strategies in northwestern Pakistan
Bibliographic record
Abstract
The interactions between household size, capital, and adaptation to social-ecological change has been widely studied; however, little is known about the differences in everyday adaptation to social-ecological change across household structures. Joint family households are increasing in contexts where the nuclear family had previously been the norm, and remains a prevalent structure throughout the world. Thus, it is important to understand how these structures influence adaptation decision-making processes and outcomes. We draw on a survey of 448 self-identified household heads in three communities in northwestern Pakistan to assess everyday adaptation to social-ecological change. We demonstrate that livelihood and adaptation strategies vary across joint and nuclear family household structures because, in part, of joint family households’ greater access to natural and human capital in comparison to nuclear family households. Finally, household livelihood decision makers often include other family members to expand beyond the often-assumed husband-wife dyad. Our work highlights how everyday adaptations are expressions of existing opportunities in the space in which households are located, access to capital and resources that differ across household structures, and of various dynamics associated with household decision making. This points to the need for a nuanced understanding of how household structure influences everyday adaptation to social-ecological change and thereby shows the ways in which adaptive capacity is embedded within existing social systems and relationships, such as household structures.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".