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Record W2978311873

Offloading memory: serial position effects.

2019· article· en· W2978311873 on OpenAlexaff
Megan O. Kelly, Evan F. Risko

Bibliographic record

VenueeScholarship (California Digital Library) · 2019
Typearticle
Languageen
FieldPsychology
TopicCognitive Functions and Memory
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMotivated forgettingForgettingRecallSerial position effectCognitionPsychologyCognitive psychologyComputer scienceFree recallNeuroscience
DOInot available

Abstract

fetched live from OpenAlex

Despite the long history and pervasiveness of cognitive offloading as a memory strategy, the memorial fate of offloaded in-formation is not well understood. Recent work has suggested that offloading information may engage similar mechanismsas instructions to forget (directed forgetting). Presently, we test this prediction by examining the serial position effectfor offloaded information. Previous research has demonstrated that forget instructions can eliminate the primacy effectwhile leaving an intact recency effect. Across two experiments, participants completed multiple free recall trials using anexternal aid and then a final recall trial without the external aid. We compared a group that was expecting to use the aid forthe final trial (offloading) with a group that was not (no offloading). We found a memory impairment for offloaded itemsthat was characterized by a reduced primacy effect but intact recency effect, similar to what has been reported in researchon directed forgetting.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.010
GPT teacher head0.229
Teacher spread0.220 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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