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Record W2051068827 · doi:10.4103/1463-1741.93308

The role of rehearsal in a novel call center-type task

2012· article· en· W2051068827 on OpenAlex
Nick Perham, Simon Banbury

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

VenueNoise and Health · 2012
Typearticle
Languageen
FieldNeuroscience
TopicHearing Loss and Rehabilitation
Canadian institutionsProfessional Engineers Ontario
Fundersnot available
KeywordsTask (project management)Computer scienceProcess (computing)Noise (video)Cognitive psychologySpeech recognitionPsychologyArtificial intelligenceEngineering

Abstract

fetched live from OpenAlex

Laboratory research has long demonstrated the disruptive effects of background sound to task performance yet the real-world implications of such effects are less well known. We report two experiments that demonstrate the importance of the role of rehearsal to a novel call center-type task. In Experiment 1, performance of a novel train timetable task-in which participants identified four train journeys following presentation of train journey information-was disrupted by realistic office noise. However, in Experiment 2, when the need for rehearsal was reduced by presenting the information and the timetable at the same time, no disruption occurred . Results are discussed in terms of interference-by-process and interference-by-content approaches to short-term memory.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.541
Threshold uncertainty score0.090

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.048
GPT teacher head0.334
Teacher spread0.286 · 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