Climate change: the science, impacts, and solutions
Bibliographic record
Abstract
It is widely accepted in the scientific community that climate change is a reality, and that changes are happening with increasing rapidity. In this second edition, leading climate researcher Barrie Pittock revisits the effects that global warming is having on our planet, in light of ever-evolving scientific research. Presenting all sides of the arguments about the science and possible remedies, Pittock examines the latest analyses of climate change, such as new and alarming observations regarding Arctic sea ice, the recently published IPCC Fourth Assessment Report, and the policies of the new Australian Government and how they affect the implementation of climate change initiatives. New material focuses on massive investments in large-scale renewables, such as the kind being taken up in California, as well as many smaller-scale activities in individual homes and businesses which are being driven by both regulatory and market mechanisms. The book includes extensive endnotes with links to ongoing and updated information, as well as some new illustrations. While the message is clear that climate change is here (and in some areas, might already be having disastrous effects), there is still hope for the future, and the ideas presented here will inspire people to take action. Climate Change: The Science, Impacts and Solutions is an important reference for students in environmental or social sciences, policy makers, and people who are genuinely concerned about the future of our environment.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.019 | 0.012 |
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".