MétaCan
Menu
Back to cohort

The Role of Meeting Size in Attendees' Psychological Response and Consequence Behavior: A Social Anxiety Approach

2022· article· en· W4297065941 on OpenAlexaff
Ying Lu, Wei Wei, Laurie Wu, Jason R. Swanson, Donald Getz

Bibliographic record

VenueEvent Management · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicConferences and Exhibitions Management
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPsychologyAnxietyAttendanceSocial anxietyClinical psychologySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

This research was to examine the effects of meeting size on attendee experience at association meetings. From perspectives of social anxiety, this research investigates how meeting size influences attendees' social anxiety levels; how attendees' perceived self-esteem and group identity at meetings moderate the effects of meeting size on social anxiety; and how attendees' perceived social anxiety influences their satisfaction with meeting attendance and perceived return-on-investment (ROI) of the meeting. With a survey of 470 attendees, results showed that the bigger the meetings are, the less social anxiety attendees will feel. The impact of meeting size is further moderated by self-esteem and group identity. Furthermore, attendees' felt social anxiety negatively affects their meeting satisfaction and perceived ROI of the meeting. Theoretical and practical contributions of the research are discussed.

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)0.002
metaresearch head score (Gemma)0.012
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 score0.002
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.315
Teacher spread0.294 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueEvent ManagementSame topicConferences and Exhibitions ManagementFrench-language works237,207