Place identity and climate change adaptation: a synthesis and framework for understanding
Bibliographic record
Abstract
Abstract Most research on climate change adaptation emphasizes the material and objective assets that build the capacity to adapt. Nonmaterial or ‘subjective’ attributes of adaptation (e.g. identity, beliefs, and values) are more difficult to quantify, and research in this area is less developed. Further effort is required to develop and test frameworks that facilitate a systematic examination of the subjective attributes of climate change adaptation. This article outlines the contribution of place identity theory as a lens through which to systematically examine how person–place bonds influence climate change adaptation. We provide a working typology of three interconnected place identity approaches to help elucidate this relationship. Each has strengths and weaknesses, depending on the theoretical and practical contexts within which they are used. The ‘cognitive‐behavioral approach’ has important utility in addressing how place identity shapes climate change perceptions and behavior; it can, however, be limited due to cognitive complexity and lack of richness from quantitative methodologies. The ‘health and well‐being approach’ addresses the often underemphasized health and well‐being impacts from climate change on place and identity, though the subjective nature of health must be considered in such an approach. The ‘collective action approach’ offers important insight into using place identity as a mechanism to foster collective opportunities for climate change adaptation. With such an approach, however, care must be taken to ensure inclusive representation of subgroup identities. We conclude by reflecting on how place identity theory can foster improved understanding in a critically important and emerging area of climate change adaptation research. WIREs Clim Change 2012. doi: 10.1002/wcc.164 This article is categorized under: Perceptions, Behavior, and Communication of Climate Change > Behavior Change and Responses Vulnerability and Adaptation to Climate Change > Values‐Based Approach to Vulnerability and Adaptation
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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 | 0.012 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.012 | 0.012 |
| Science and technology studies | 0.004 | 0.016 |
| Scholarly communication | 0.012 | 0.018 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".