Lexicality as a Determinant of the Category-Order Effect
Bibliographic record
Abstract
Lexicality as a Determinant of the Category-Order Effect Sylvain Pronovost, Jordan Schoenherr, Robert Thomson, Michael Henighan (psychophysics.lab@gmail.com) Institute of Cognitive Science, Carleton University 1133 Colonel By Drive, Ottawa, ON K1S5B6 CANADA Keywords: category–order effect; memory span; working memory Results Introduction Table 1: Significant Effects Significant Effects F df COE Letter Category Score Component COE x Letter COE x Score COE x Letter x Score The current study examined the category-order effect (COE hereafter) identified by Brooks and Watkins (1990) where memory span is facilitated by the order of presentation of salient stimuli. In previous research (Brooks and Watkins, 1990; Greene and Lasek, 1994), when numbers preceded words recall performance on the entire list was improved. To examine to what degree lexicality is involved in the COE, the authors modified Brooks and Watkins’ paradigm by presenting a unitary string (as opposed to a sequential list) containing four random non-repeating numbers and four letters representing four conditions: random letters, rhyming letters, four letter pseudo-words (consonant-vowel- consonant-vowel strings, CVCV hereafter), and four letter words. The results of this study indicate that COEs are stronger in conditions where the letters have lexical properties, such as the CVCV and word conditions. In contrast to past results, this study found better list recall when words and CVCV preceded numbers. MSE Discussion The present study replicated a category-order effect similar to that observed by Brooks and Watkins (1990) and Greene and Lasek (1994). Previous research demonstrated that when numbers preceded words, recall performance on the entire list was improved. By contrast, we found that while the COE is indeed evident within the overall score, it only exhibits improved performance for word and word-like stimuli, with no score improvement with random letters, rhyming letters, or random numbers. This suggests that participants may be pursuing a strategy of conservation, thus adopting the easiest means to encode the stimuli. Participants would thus select the most readily identifiable stimuli to encode first; i.e., word stimuli, and then proceed to encode the other stimuli. Methods Participants Twenty-two (n=22) undergraduate psychology students. Procedure Participants recalled eight item lists of four letters and four numbers. Letter stimuli represented four conditions: random letters, phonetically similar (rhyming), CVCV strings, and four letter words. Each participant completed 160 trials. Presentation order of letter/number pairs and letter conditions were counterbalanced. A response cue indicated the direction of recall, either “FORWARD’ or “BACKWARD”. The response cue followed a 250 ms ISI that occurred after the stimuli were presented. The stimulus exposure time was 750 ms. Conclusions Our findings suggest that the lexicality (word-like properties) of the letter stimuli improved memory span, suggesting that encoding strategies such as chunking directly affect the direction and magnitude of the COE. This phenomenon is not limited to lexicality, but lexicality is simply one expression. What should be taken from this study is that any strategy that facilitates the encoding of patterns (e.g. features) within stimuli (whether intrinsic or extrinsic) will generally improve memory span. Scoring Participants were scored in an all-or-none scoring of individual items when a correct item appeared in the correct order, for a maximum aggregate score of 8 (4 each for the letter and number scores). References Brooks, J. O., & Watkins, M. J. (1990). Further evidence of the intricacy of Memory Span. Journal of Experimental Psychology: Learning, Memory, and Cognition, 16, 1134-1141. Greene & Lasek (1994). Category-order effects in memory span. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20, 1391-1395. Stimulus Samples BONE1274 XANI5974 CVTP5873 DYRM3527 p < - Word - Word-like (CVCV) - Rhyming Letters - Random Letters
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".