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Record W765099091

“Where Did I Learn That?” Exploring The Similarity Effect and Children’s Use of Memory Cues for Source Monitoring

2015· article· en· W765099091 on OpenAlexaff
Leanne E Bird

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsSimilarity (geometry)Task (project management)PsychologyInformation source (mathematics)Cognitive psychologySensory cueSocial psychologyComputer scienceArtificial intelligenceStatisticsMathematics
DOInot available

Abstract

fetched live from OpenAlex

An individual’s ability to accurately monitor source (attribute known or remembered information to its particular source or origin) develops gradually throughout childhood. Along with task difficulty (i.e., delay between encoding and retrieval), source similarity is among the utmost hindrance to individuals’ ability to accurately monitor source; specifically, the greater the similarity between sources the more difficult source monitoring judgments have been found to be, and the smaller similarity between sources (i.e., the greater number of differences between sources) the more accurate source monitoring judgments have been found to be. The similarity effect has been said to apply to all age groups, and has been assumed to be especially detrimental for young children. The present research looks further into the issue of source similarity, and suggests that the similarity effect may not be as generalizable as claimed. Specifically, although adults benefit most from dissimilar sources (as the similarity effect predicts), what may be paramount for young children (rather than more differences between sources) are few (at least one) but distinct differences between sources. The present study aims to begin consideration in this area by focusing on visual information. An experimental research design was used to assign 99 participants of different age groups (3-5, 6-8, 18-21) each to two different source-monitoring conditions. Each condition contained two actors, and the number of visual cues that differed between actors varied for each of the conditions (onecue and five-cues). Specifically, the number of visual cues was manipulated such that one pair of actors displayed one distinct visual difference, and the other pair displayed five visual differences. After a short distractor task, participants were interviewed and asked to make source-monitoring judgments about actions performed by the actors within SIMILARITY EFFECT AND MEMORY CUES ii each of the two events. Data were collapsed and analyzed by age group. In line with past literature, an overall/general developmental progression was found to exist in participants’ ability to make accurate source judgments. Contrary to the present proposed theory, there was no significant interaction between age and cue condition; individuals of all age groups were found to be more accurate in the five-cue condition than in the onecue condition (as predicted by the similarity effect). The obtained results in relation to the proposed theory were discussed. Understanding the way that individuals use cues to monitor source can help us further understand developmental differences in source monitoring, clarify the basic mechanisms involved, and highlight other aspects of children’s memory development. In addition, basic research questions concerning the nature of children’s source-monitoring errors may be particularly important to understanding the caveats surrounding forensic interviews with young children. SIMILARITY EFFECT AND MEMORY CUES iii

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)0.003
metaresearch head score (Gemma)0.016
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.003
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.108
GPT teacher head0.307
Teacher spread0.198 · 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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