Asset assemblages and livelihood resilience in a coastal community
Bibliographic record
Abstract
Both livelihood resilience and sustainability have received substantial attention from tourism researchers. Capital is crucial to livelihood resilience, and different livelihoods depend on different asset portfolios. However, the transformation of capital across livelihoods has not been examined carefully. Instead of treating capital as singular, we investigate capital as a multiplicity. We evaluate the transformation of capital through a qualitative approach to better understand livelihood resilience through changes in asset assemblages. We made multiple field visits to a Chinese coastal community that is developing a tourism industry, where we collected data through semi-structured interviews and observation that revealed that livelihood capitals have multiple properties and functions, enabling their transformation among asset assemblages. The buffering capacity of livelihood systems, and thereby the livelihood resilience of fishing households, substantially depends on the transformation of capitals. We conclude that the understanding of livelihood resilience can be deepened through assemblage thinking that considers both the multiplicity of capitals and their relations in different production contexts.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".