Exploring the use of adaptation tipping points: A systematic review of definitions, characteristics and applications
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
Adaptation Tipping Points (ATPs) are critical in adaptation pathway planning, marking thresholds where existing strategies fail, and requiring new approaches. Despite their importance, ATPs lack consistent definitions, leading to conceptual fragmentation. Following the lack of a systematic approach, existing research provides limited insights into how ATPs align with broader development trajectories, making their integration into adaptation strategies challenging. Addressing this gap requires a comprehensive characterization that clarifies how ATPs have been applied in scientific literature, ensuring consistency while allowing for context-specific adaptations. To this end, we systematically analyse and consolidate existing research on ATP definitions, methods, and outputs, laying the groundwork for a standardized approach to ATPs in climate change adaptation planning. We identify four primary ATP categories (policy-based, acceptance-based, transition-based, and opportunity-based), each representing distinct thresholds shaped by governance, societal acceptance, systemic transitions, and strategic opportunities. These categories are characterized by differences in system dynamics, triggering events, consequences, adaptation drivers, and goals, defining distinct trajectories and objectives for each category in adaptation pathway planning. Furthermore, we show that the application of different ATP categories is independent of specific contexts, methods or outcomes, highlighting the flexibility of different categories across climate change adaptation planning processes. This study underscores the potential of ATPs to enhance cross-sectoral integration and facilitate the development of adaptation pathways. Ultimately, a more coherent application of ATPs can strengthen adaptation pathway planning by enabling timely interventions, accounting for systemic interdependencies, and aligning adaptation measures with broader sustainability goals in an integrated, system-wide framework.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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