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Record W2117394871 · doi:10.1177/0956797609359910

Hyper-Binding

2010· article· en· W2117394871 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePsychological Science · 2010
Typearticle
Languageen
FieldNeuroscience
TopicNeural and Behavioral Psychology Studies
Canadian institutionsBaycrest HospitalUniversity of Toronto
FundersNational Institute on AgingCanadian Institutes of Health ResearchU.S. Public Health Service
KeywordsPsychologyTask (project management)Cognitive psychologyDevelopmental psychologySemantic memoryENCODELexical decision taskCognitionNeuroscience

Abstract

fetched live from OpenAlex

Previous work has shown that older adults encode lexical and semantic information about verbal distractors and use that information to facilitate performance on subsequent tasks. In this study, we investigated whether older adults also form associations between distractors and co-occurring targets. In two experiments, participants performed a 1-back task on pictures superimposed with irrelevant words; 10 min later, participants were given a paired-associates memory task without reference to the 1-back task. The study list included preserved and re-paired (disrupted) pairs from the 1-back task. Older adults showed a memory advantage for preserved pairs and a disadvantage for disrupted pairs, whereas younger adults performed similarly across pair types. These results suggest the existence of a hyper-binding phenomenon in which older adults encode seemingly extraneous co-occurrences in the environment and transfer this knowledge to subsequent tasks. This increased knowledge of how events covary may be the reason why real-world decision-making ability is retained, or even enhanced, with age.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
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 score0.122
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.281
GPT teacher head0.475
Teacher spread0.194 · 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