Bibliographic record
Abstract
Climate variability is the semi-regular fluctuation of climate about its mean state. Whereas there is considerable research into how daily variability and long-term change may influence attitudes and perceptions of climate change, the influence of climate variability acting over timescales between these extremes (i.e. interannual anomalies, decadal cycles) has mostly been neglected in human dimensions of climate research. This lack of consideration of long-term climate variability has limited our capacity to assess climate perceptions effectively and holistically. The goal of this research was to explore the extent to which individuals notice, interpret, and communicate climate variability. Through semi-structured, one-on-one interviews with people living in areas experiencing considerable climate variability, this research has begun to develop a baseline understanding of the weather and climate phenomena that are prevalent in participants’ lives. This project also analyzes some of the language strategies that individuals use to communicate weather/climate cycles and other relevant climate phenomena. Subsequent focus group discussions were used to test tools for communicating important weather/climate phenomena. Because human values and cultural meanings are often removed from climate science, climate-related information is difficult to understand and contextualize when disseminated to the public. By focusing on the social aspects of weather and climate experiences, this research identifies the climate features that matter most to individuals in the community being researched. The results of this project can inform future research investigating perceptions and experiences of past weather and climate phenomena. Furthermore, because longer-term variability is often misrepresented as counter-evidence to anthropogenic climate change by either those who do not understand or care to understand the phenomena, the results of this research can begin to aid in reducing the potential misinterpretations between natural climate variability and climate change.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".