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Record W4409988301 · doi:10.12794/metadc500047

The Power of One Reinforcer

2013· dissertation· en· W4409988301 on OpenAlexaff
Mary E. Hunter

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicBehavioral and Psychological Studies
Canadian institutionsGlobal Affairs Canada
Fundersnot available
KeywordsReinforcementPower (physics)PsychologySocial psychologyPhysics

Abstract

fetched live from OpenAlex

Animal trainers use shaping to teach many behaviors. However, during shaping, the organism may engage in behaviors other than the target behavior or approximations to the target behavior. If the animal is engaged in other behaviors, the rate of reinforcement may decrease and the trainer may resort to what is sometimes referred to as a “desperation click.” That is, the trainer delivers one reinforcer for a behavior that is not a successive approximation to the target response. Anecdotal reports from trainers suggest that sometimes the animal continues to repeat this other behavior that received only one reinforcer, even in the absence of further reinforcement for that behavior. This study compared whether, during a one minute extinction period, participants spent more time engaged in a behavior that had been reinforced only once after a brief period of no reinforcement or in a behavior that had been reinforced multiple times. Participants, who were university students, played a tabletop game that involved touching and manipulating small objects. Five conditions were repeated twice for each participant: reinforcement for interacting with a training object alone, reinforcement for interacting with a training object with other objects present, reinforcement for interacting with a target object, one reinforcer for interacting with a third object immediately following a brief period of no reinforcement, and reinforcement for interacting with any object. Results from this study show that a desperation click situation can be reliably produced in a controlled setting. When participants received one reinforcer for interacting with a new object following a period of no reinforcement, they interacted with the new object for a longer or equal amount of time as compared to an object that had a history of reinforcement.

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.

How this classification was reachedexpand

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.703
Threshold uncertainty score0.999

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)0.0330.002

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 head0.148
GPT teacher head0.372
Teacher spread0.224 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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