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Record W1854113875

Effortful processing in the speed-accuracy tradeoff phenomenon

2012· article· en· W1854113875 on OpenAlex
Matthew Runge, Craig Leth‐Steensen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueProceedings of Fechner Day · 2012
Typearticle
Languageen
FieldNeuroscience
TopicNeural and Behavioral Psychology Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsTask (project management)Process (computing)Cognitive psychologyTone (literature)Computer sciencePsychologyEngineering
DOInot available

Abstract

fetched live from OpenAlex

Forty students participated in a dual-task speed-accuracy trade-off experiment. The primary task required them to compare the relative sizes of two symbolic stimuli, and the secondary task required them to periodically identify a tone which sounded at the beginning of each trial. The primary task was performed under both speed-emphasized and accuracy-emphasized conditions. Measures of response time and proportion correct were taken for both tasks under both conditions. Results for the primary task suggested that participants adhered to the instructional emphases of speed and accuracy. Decremented performance in the secondary task was not evident with respect to proportion correct; however, secondary task response times in the speed-emphasized condition were slower than in the accuracy-emphasized condition. These data provide some evidence that speeded responding might indeed be an inherently effortful process and, hence, might not simply involve passive adjustments to response criteria.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.062
Threshold uncertainty score0.421

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.143
GPT teacher head0.367
Teacher spread0.225 · 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