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Record W4391573206 · doi:10.31234/osf.io/zjxvu

Rethinking Memory Impairments: Retrieval Failure

2024· preprint· en· W4391573206 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.

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicCognitive Functions and Memory
Canadian institutionsCanadian Institute for Advanced Research
FundersNational Institute of Mental HealthEconomic and Social Research Council
KeywordsComputer sciencePsychologyCognitive psychology

Abstract

fetched live from OpenAlex

A canonical view in the neuroscience of learning and memory literature is that failures in memory expression reflect storage failures, and hence amnesic manipulations following training or following memory reactivation can permanently erase memory traces. In this review, we analyse extant literatures from the learning and memory domains suggesting that most if not all of these memory deficits can be restored with the appropriate retrieval cues. We contend that all experience-dependent manipulations conducted immediately after training or following memory reactivation result in new learning, which interferes with the original learning and hence makes information highly dependent on retrieval cues for memory expression. Thus, although acquisition and storage mechanisms are surely important, memory retrieval is a critical component of memory performance, with numerous findings from behavioural and neurobiological studies all converging on this general stance. These conclusions invite a rethinking of the learning and memory literatures and provide new avenues for research.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.653
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0270.007

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 head0.036
GPT teacher head0.326
Teacher spread0.289 · 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

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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