Bibliographic record
Abstract
The International Handbook of Thinking and Reasoning is an authoritative reference work providing a balanced overview of current scholarship spanning the full breadth of the rapidly developing and expanding field of thinking and reasoning. It contains 35 chapters written by leading international researchers, covering foundational issues as well as state-of-the-art developments in thinking and research. Topics covered range across all sub-areas of thinking and reasoning, including deduction, induction, abduction, judgment, decision making, argumentation, problem solving, expertise, creativity and rationality. The contributors engage with cutting-edge debates such as the status of dual-process theories of thinking, the role of unconscious, intuitive, emotional and metacognitive processes in thinking, and the importance of probabilistic conceptualisations of thinking and reasoning. Authors also examine the importance of neuroscientific findings in informing theoretical developments, and explore the situated nature of thinking and across a range of real-world contexts such as mathematics, medicine and science. The Handbook provides a clear sense of the way in which contemporary ideas are challenging traditional viewpoints as paradigm of the psychology of reasoning emerges. This paradigm-shifting research is paving the way toward a richer and more inclusive understanding of thinking and reasoning, where important new questions drive a forward-looking research agenda. It is essential reading for both established researchers in the field of thinking and as well as advanced students wishing to learn more about both the historical foundations and latest developments in this rapidly growing field.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.030 | 0.014 |
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".