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Remembering: An Activity of Mind and Brain

2019· article· en· W2961886970 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAnnual Review of Psychology · 2019
Typearticle
Languageen
FieldNeuroscience
TopicMemory Processes and Influences
Canadian institutionsBaycrest HospitalUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPsychologyCognitive scienceCognitive psychologyPerspective (graphical)Construct (python library)CognitionSet (abstract data type)Memory errorsEpisodic memoryLevels-of-processing effectInformation processing theoryImplicit memoryInformation processingNeuroscienceRecallComputer science

Abstract

fetched live from OpenAlex

I present the case for viewing human memory as a set of dynamic processes rather than as structural entities or memory stores. This perspective stems largely from the construct of levels of processing, reflecting work I published with Robert Lockhart and with Endel Tulving. I describe the personal and professional contexts in which these and other ideas evolved, and I discuss criticisms of the ideas and our responses to critics. I also show how later versions of a processing approach to memory may fit with current findings and theories in memory research. In related work I have been involved in studies of cognitive aging, and I describe some theoretical and empirical points deriving from this aspect of my research efforts. Finally, I deal briefly with some experiments and reflections on divided attention, consolidation, and bilingualism and touch upon the neural bases of a processing approach.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.525

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.054
GPT teacher head0.408
Teacher spread0.355 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it