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Record W7132964886

Exploring the parameters of retrieval mode in a recognition memory task using behavioural and event-related potential methodologies

2006· dissertation· W7132964886 on OpenAlexfundno aff
Sandra Priselac

Bibliographic record

VenueTSpace · 2006
Typedissertation
Language
FieldNeuroscience
TopicMemory Processes and Influences
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of TorontoCanadian Institutes of Health ResearchOntario Innovation Trust
KeywordsCued speechTask (project management)CognitionSet (abstract data type)PerceptionMode (computer interface)Episodic memoryRecognition memoryInformation processing
DOInot available

Abstract

fetched live from OpenAlex

Retrieval mode has been defined as a cognitive state that orients the cognitive system to treat items as cues for episodic memory. The present set of behavioural experiments (Experiments 1-3) and event-related potentials study (Experiment 3) sought to separate retrieval mode from other retrieval-related processes, such as retrieval success and effort, in a paradigm that cued participants to an upcoming memory task. Results were compared to performance on a cued perceptual task and on non-cued memory and perceptual tasks. The findings indicated that maintaining retrieval mode is both resource-demanding and requires processing time. ERP correlates related specifically to retrieval mode differed from both the perceptual and non-cued trials and were most evident across centroparietal electrodes during both the post-cue word onset period and test word period. Based on these results, it was concluded that posterior regions associated with item recognition memory may also be recruited in establishing and maintaining retrieval mode.

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 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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.296
GPT teacher head0.403
Teacher spread0.107 · 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 teacher head, not a consensus.

Study designBench or experimental
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
Published2006
Admission routes1
Has abstractyes

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