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Record W2766183613

Semantic Networks and Order Recall in Verbal Short-Term Memory - eScholarship

2014· article· en· W2766183613 on OpenAlexaboutno aff
Marie Poirier, Jean Saint‐Aubin, Ali Mair, Gerald Tehan, Georgina A. Tolan

Bibliographic record

VenueProceedings of the Annual Meeting of the Cognitive Science Society · 2014
Typearticle
Languageen
FieldNeuroscience
TopicMemory Processes and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsRecallOrder (exchange)PsychologySemantic memorySAINTHistoryCognitive psychologyArt historyCognition
DOInot available

Abstract

fetched live from OpenAlex

Semantic Networks and Order Recall in Verbal Short-Term Memory Marie Poirier (m.poirier@city.ac.uk) Memory Research Unit, City University London, Northampton Square, London, U.K., EC1V 0HB Jean Saint-Aubin (Jean.Saint-Aubin@umoncton.ca) Psychology Department, Moncton University, Moncton Campus, Pav. Leopold-Taillon, 18 ave Antonine-Maillet, Moncton, NB, Canada, E1A 3E9 Ali Mair (Ali.Mair.2@city.ac.uk) Memory Research Unit, City University London, Northampton Square, London, U.K., EC1V 0HB Gerry Tehan (gerry.tehan@usq.edu.au) Department of Psychology, University of Southern Queensland, Springfield Campus PO Box 4196, Springfield Central, QLD 4300, Australia Anne Tolan (Anne.Tolan@acu.edu.au) Department of Psychology, Australian Catholic University, PO Box 456, Virginia, QLD 4014, Australia Postle, 2011; Hamilton & Martin, 2007;, R. C. Martin, 2006; Majerus, 2009; and Thorn & Page, 2009). Nevertheless, there has been little work on factors associated with semantic LTM. The study reported here aimed to test a hypothesis that suggests that semantic LTM plays an important role in immediate memory for order. Abstract In a recent paper, Acheson, MacDonald, and Postle (2011) made an important but controversial suggestion: They hypothesised that a) semantic information has an effect on order information in short-term memory (STM) and b) that order recall in STM is based on the level of activation of items within the relevant long-term memory (LTM) network. However, verbal STM research typically has led to the conclusion that factors such as semantic category have a large effect on the number of correctly recalled items and little or no significant impact on order recall (Poirier & Saint-Aubin, 1995; Tse, 2009). Both of the studies reported here tested the hypotheses advanced by Acheson et al. Results show that as predicted, manipulating the putative activation of list items significantly impacts the recall of item order. The Role of LTM in Short-Term Recall: Keywords: Short-term memory; working memory; order recall; immediate memory; activated long-term memory. Short- and Long-term Memory We are all familiar with the experience of reading material from an area known to us. Expressions, arguments and ideas are recognised; our previous knowledge significantly supports our grasp of the paper. In important ways, this example illustrates one of the most fundamental functions that memory performs: allowing the past to support and guide our present interactions with the world. This paper is about the interaction between semantic knowledge and the last few seconds of our most recent past – the content of short-term memory (STM). Until relatively recently, little systematic consideration was given to how the lexical/semantic properties of verbal items affect performance in STM tasks. However, current work bears witness to the growing interest in this area, with research systematically exploring the relationship between language organisation in long-term memory (LTM) and verbal short-term recall (e.g. Acheson, MacDonald, & The study of LTM contributions to verbal short-term recall has typically relied on a classic task: immediate serial recall. In this task, a small number of verbal items are presented — usually between 5 and 7—and participants must attempt to recall these items, in their order of appearance, immediately after list presentation. It is now well established that word frequency/familiarity has a positive influence on immediate serial recall, as does concreteness and lexicality (see Saint- Aubin & Poirier, 1999a for a review). This is also true at a sub-lexical level; when trying to remember non-words, items containing more familiar phonemic components are better recalled (Thorn & Frankish, 2005). Currently, it can be argued that there are two general classes of views that address these findings. The first are typically known as redintegration accounts while the second suggest that verbal STM relies more directly on long-term representations. Redintegration. From this perspective immediate recall is a two-step process. It is first assumed that participants encode verbal material into phonological forms, as suggested by the well know articulatory loop / working memory model (e.g. Baddeley, 1986). In the absence of rehearsal, these representations are thought to rapidly become degraded either by decay or through interference. At the point of recall, a retrieval mechanism produces a phonological representation as a candidate for output. The memory trace may or may not be degraded (but see Roodenrys & Miller,

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)0.003
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
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 score0.061
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.023
GPT teacher head0.274
Teacher spread0.251 · 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".

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Citations0
Published2014
Admission routes1
Has abstractyes

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Same venueProceedings of the Annual Meeting of the Cognitive Science SocietySame topicMemory Processes and InfluencesFrench-language works237,207