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Record W2138944101 · doi:10.1177/0145445507303845

Errorless Acquiescence Training

2007· article· en· W2138944101 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.

Bibliographic record

VenueBehavior Modification · 2007
Typearticle
Languageen
FieldPsychology
TopicBehavioral and Psychological Studies
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsAcquiescencePsychologyProsocial behaviorIntervention (counseling)Developmental psychologySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

Errorless acquiescence training (EAT) was developed as a graduated, success-focused, and short-term intervention for building social skills. The approach focuses on building the skill of acquiescence (i.e., teaching children to be flexible with the needs and will of peers). The authors predict that acquiescence would serve as a keystone, that is, a skill that when trained produces widespread improvements in child behavior, including reductions in antisocial behavior. The authors provide EAT to eight children referred to a clinical classroom for severe antisocial behavior. Consistent with errorless paradigms, key intervention components present at the initiation of intervention are systematically faded at a slow enough rate to ensure continued prosocial interactions throughout and following treatment. Children demonstrate substantial increases in acquiescent responding and other prosocial behavior as well as covariant reductions in antisocial behaviors. Acquiescence is discussed in terms of its potential as a keystone for prosocial responding in children with antisocial behavior.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.881
Threshold uncertainty score1.000

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)0.0010.001

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 head0.566
GPT teacher head0.440
Teacher spread0.126 · 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