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Record W4389641094 · doi:10.31542/gt6x6v30

How to Make a Good First Impression When Socially Anxious

2023· article· en· W4389641094 on OpenAlexvenueno aff
Melissa Nielsen

Bibliographic record

VenueMacEwan University Student eJournal · 2023
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsnot available
Fundersnot available
KeywordsKindnessImpression formationPsychologyImpression managementSocial psychologyAnxietySocial anxietyPrecedentInterviewSocial perceptionPerceptionSociology

Abstract

fetched live from OpenAlex

Making a good first impression is integral to forming and maintaining relationships, which affect nearly every aspect of one's life. Whether interviewing for a job or meeting a partner's friends and family, making positive first impressions can significantly improve one's quality of life. Research shows that social anxiety impedes a person's ability to make a good first impression. Wherein appearing anxious (i.e., tense, fidgeting, unstable vocal pitch) can cause a person to come across as less desirable, more submissive, detached, and less expressive. Social anxiety also contributes to one's negative interpretation of their impressions on others, further perpetuating this fear. However, there are specific strategies that can help people conquer social anxiety and make better first impressions. By creating self-distance (e.g., non-first-person self-talk, reflecting as if watching a stranger), focusing on others (e.g., learning about others, performing acts of kindness), and increasing self-expression, one can decrease social anxiety and make better first impressions.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.030
GPT teacher head0.311
Teacher spread0.281 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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