Bibliographic record
Abstract
Abstract The book sets out Fergus Craik’s view of human memory as a dynamic activity of mind and brain. In this account, remembering is understood as a system of active cognitive processes, similar to the processes underlying attending, perceiving, and thinking. The book therefore extends and elaborates the concept of “levels of processing” proposed by Craik and Lockhart (1972). Thus, encoding processes are essentially the mental activities involved in perceiving and understanding, and retrieval is described as the partial reactivation of these same processes. It is further suggested that “memory traces” are represented by a hierarchically organized system of analyzers, modified, sharpened, and differentiated by encounters with successive events. This account proposes that episodic and semantic memory should be thought of as levels in a continuum of specificity rather than as separate systems of memory. The book also covers Craik’s views on working memory and on changes in memory as a function of aging. In the latter case the losses are attributed largely to a difficulty with the self-initiation of appropriate encoding and retrieval operations, compensated by support from the external environment. There is a short chapter on the cognitive neuroscience of human memory, and a final chapter bringing the ideas together. The book covers the development of these ideas, illustrated substantially by experiments from Craik’s own laboratory, and also by empirical and theoretical contributions from other researchers. The final product is a broad account of current ideas and findings in contemporary memory research but viewed from Craik’s personal theoretical standpoint.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.068 | 0.017 |
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".