MétaCan
Menu
Back to cohort
Record W2040554774 · doi:10.1177/1948550615572635

Picking One’s Battles

2015· article· en· W2040554774 on OpenAlexaff
Lara K. Kammrath, Megan H. McCarthy, Kassandra Cortes, Charity A. Friesen

Bibliographic record

VenueSocial Psychological and Personality Science · 2015
Typearticle
Languageen
FieldPsychology
TopicPersonality Traits and Psychology
Canadian institutionsWilfrid Laurier UniversityUniversity of Waterloo
Fundersnot available
KeywordsAssertivenessPsychologyAgreeablenessSocial psychologyTraitAssertionExtraversion and introversionInterpersonal communicationBig Five personality traitsPersonalityDevelopmental psychology

Abstract

fetched live from OpenAlex

Assertive behavior is positively associated with trait extraversion and negatively associated with trait agreeableness. Are introverted and agreeable people simply unable to be highly assertive? Global assertiveness is, we argue, influenced by more than one interpersonal ability; it is affected by the ability to show high assertion but also by the ability to show low assertion. If assertiveness and unassertiveness abilities are distinct skills, the unassertiveness of an introverted person might occur for different reasons than the unassertiveness of an agreeable person and might in consequence manifest in different situations. To explore these possibilities, we looked at informant reports of participants’ assertiveness and unassertiveness abilities (Study 1) and participants’ if-then profiles of assertiveness behavior (Studies 2 and 3). The results suggested that introverted people are less assertive than extraverted people because they have lower assertiveness ability, whereas agreeable people are less assertive than disagreeable people because they have higher unassertiveness ability.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient 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 score0.699
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.330
GPT teacher head0.457
Teacher spread0.127 · 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

Citations11
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueSocial Psychological and Personality ScienceSame topicPersonality Traits and PsychologyFrench-language works237,207