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Record W2097642249 · doi:10.1177/0894439312436487

Capturing the Stream of Behavior

2012· article· en· W2097642249 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

VenueSocial Science Computer Review · 2012
Typearticle
Languageen
FieldPsychology
TopicMental Health Research Topics
Canadian institutionsWilfrid Laurier UniversityUniversity of Waterloo
Fundersnot available
KeywordsJoystickExecutableMoment (physics)SoftwareComputer scienceAffect (linguistics)PerceptionHuman–computer interactionObserver (physics)PsychologyCommunicationSimulationPhysics

Abstract

fetched live from OpenAlex

The present article advances a joystick-based methodology for recording and studying time-dependent patterns as continuous phenomena. It is particularly useful for capturing moment-to-moment changes with regard to a state space defined by two orthogonal axes, as in studies involving the interpersonal circumplex or the mood circumplex. A joystick monitoring program (free, downloadable, executable software available at www.wlu.ca/science/psadler ) is used. While watching a recorded interaction displayed on the computer screen, an observer moves the joystick to indicate a target person’s moment-to-moment behavior, and the X– Y coordinates are written frequently (e.g., twice per second) to a data file. The authors describe the software and the nature of the data obtained. The authors also suggest possible applications, such as studying subtle patterns of interpersonal behavior during interactions and studying individual differences in the perception of moment-to-moment variations in a target person’s affect.

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)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.953
Threshold uncertainty score0.482

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.000
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 head0.182
GPT teacher head0.520
Teacher spread0.338 · 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