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Record W2738557861

Helping you and helping me: Facilitatory joint action behaviour is dependent on social context

2014· article· en· W2738557861 on OpenAlexaff
Merryn Constable, Andrew P. Bayliss, Ottmar V. Lipp, Steven P. Tipper

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicAction Observation and Synchronization
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAction (physics)PsychologyContext (archaeology)Social psychologyGRASPObject (grammar)Cognitive psychologyCommunicationComputer science
DOInot available

Abstract

fetched live from OpenAlex

We constantly rely on others to achieve daily tasks and goals. Although sometimes we may not need another person’s help in completing simple daily activities, we often receive it. For example, most people are very capable of opening a door and walking through it, yet often one person will hold the door open for the following person. This is a clear demonstration of the human tendency to facilitate the actions and goals of another person. In the present study, we sought to determine if this facilitatory action behaviour could be influenced by the social context in which it occurs. Participants were asked to pass mugs to a partner seated across the table. The mugs were either owned by the initiating partner or the receiving partner. The receiving partner was to either act upon the object or remain stationary. Interestingly, ownership influenced the initiating partner’s facilitatory behaviour. When the receiving partner was required to act upon their own mug the handle of the mug was oriented by the initiator in a manner that required less effort to grasp. That is, the handle was tilted further away from the hand and the body so less perturbation of the movement was required. However, this difference between action and no action conditions was only observed when the mug was the receiving partner’s mug, there was no effort to facilitate the action of another person when the mug was owned by the initiator. Overall, this suggests that the level of affiliation the initiator or receiver has with an object influences joint action behaviour. Specifically, the affiliation the users have with the mugs influenced the likelihood that the initiator will incorporate the receiver’s action goals into their own action plans.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.810
Threshold uncertainty score0.998

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)0.0030.000

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 head0.115
GPT teacher head0.345
Teacher spread0.230 · 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; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations1
Published2014
Admission routes1
Has abstractyes

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