A BIBLIOMETRIC ANALYSIS OF RESEARCH ON CLIMATE CHANGE AND PHYSICAL ACTIVITY: KNOWLEDGE VISUALIZATION AND REVIEW
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
Climate change and physical activity have emerged as focal points of contemporary research.This study adopts a scientometric approach to review 1,268 bibliographic records and 70,522 citation records from the WoS Core Collection database, aiming to outline the research domains of climate change and physical activity through co-authorship, co-citation, and keyword co-occurrence analyses.Our findings highlight that: firstly, the research landscape is predominantly shaped by developed nations in Europe and North America, with the USA, Canada, and England being key contributors; secondly, the top ten authors in this field are spotlighted based on co-citation frequency, burst intensity, and centrality.Additionally, we identified four primary research themes and further unveiled the evolving research hotspots, delineating two promising research trajectories.In conclusion, potential future directions for research in climate change and physical activity are proposed.Furthermore, the study's principal contributions and limitations are elaborated upon, acknowledging the constraints imposed by utilized tools and data sources, and the influence of the researchers' expertise on result interpretation.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.013 | 0.025 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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