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Record W1970978981 · doi:10.1080/08824090409360006

Age and sex differences in willingness to communicate, communication apprehension, and self‐perceived competence

2004· article· en· W1970978981 on OpenAlexaff
Leslie A. Donovan, Peter D. MacIntyre

Bibliographic record

VenueCommunication Research Reports · 2004
Typearticle
Languageen
FieldPsychology
TopicCommunication in Education and Healthcare
Canadian institutionsCape Breton University
Fundersnot available
KeywordsCommunication apprehensionPsychologyWillingness to communicateCompetence (human resources)ApprehensionDevelopmental psychologySocial psychologyAnxiety

Abstract

fetched live from OpenAlex

Age and sex differences in willingness to communicate (WTC), communication apprehension, and self‐perceived communication competence were examined using three age cohorts of participants drawn from junior high, high school, and university student populations. Results indicate that junior high females are higher in WTC than their male counterparts and females at the university level are higher in communication apprehension and lower in self‐perceived competence than are male university students. Communication apprehension and self‐perceived competence show a consistent negative relationship that does not vary with age or sex in the present sample. The degree to which communication apprehension arid self‐perceived competence predict WTC varies with age and sex. In all three age cohorts, communication apprehension is a significant predictor of WTC among women. Among men, self‐perceived competence emerges as a significant predictor of WTC in all three age groups.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.470
Teacher spread0.288 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations192
Published2004
Admission routes1
Has abstractyes

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