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Record W2950973394 · doi:10.1002/jaba.589

Measurement of nontargeted problem behavior during investigations of resurgence

2019· article· en· W2950973394 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

VenueJournal of Applied Behavior Analysis · 2019
Typearticle
Languageen
FieldPsychology
TopicBehavioral and Psychological Studies
Canadian institutionsBrock University
Fundersnot available
KeywordsPsychologyExtinction (optical mineralogy)Autism spectrum disorderDevelopmental psychologyClinical psychologyAutismAudiologyMedicine

Abstract

fetched live from OpenAlex

Resurgence occurs when a previously extinguished behavior reemerges once a more recently reinforced behavior is placed on extinction. Previous research has suggested that nontargeted responses within the same response class recur alongside target-response resurgence (e.g., da Silva, Maxwell, & Lattal, 2008; Lieving, Hagopian, Long, & O'Connor, 2004). The purpose of this two-experiment investigation was to examine target response resurgence while simultaneously measuring the occurrence of nontargeted responses. Three children diagnosed with autism spectrum disorder who displayed multiple topographies of problem behavior participated. In Experiment 1, a three-phase resurgence procedure was conducted and all three participants displayed target-response resurgence accompanied by the emergence of nontargeted forms of problem behavior. These findings were replicated in Experiment 2 using a 30-min assessment procedure. The implications of these findings as they pertain to the treatment of severe problem behavior and utility of a brief relapse assessment are discussed.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.117
GPT teacher head0.320
Teacher spread0.203 · 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