Gender, Race, and Age of Librarians and Users Have an Impact on the Perceived Approachability of Librarians
Notice bibliographique
Résumé
Objective – To assess how the age, gender, and race characteristics of library users affect their perceptions of the approachability of reference librarians with similar or different demographic characteristics.
 
 Design – Image rating survey.
 
 Setting – Large, three-campus university system in the United States.
 
 Subjects – There were 449 students, staff, and faculty of different ages, gender, and race.
 
 Methods – In an online survey respondents were presented with images of hypothetical librarians and asked to evaluate their approachability, using a scale from 1 to 10. The images showed librarians with neutral emotional expressions against a standardized, neutral background. The librarians’ age, gender, and race were systematically varied. Only White, African American, and Asian American librarians were shown. Afterwards respondents were asked to identify their own age, gender, race, and status.
 
 Main Results – Respondents perceived female librarians as more approachable than male librarians, maybe due to expectations caused by the female librarian stereotype. They found librarians of their own age group more approachable. African American respondents scored African American librarians as more approachable, whereas Whites expressed no significant variation when rating the approachability of librarians of different races. Thus, African Americans demonstrated strong in-group bias but Whites manifested colour blindness – possibly a strategy to avoid the appearance of racial bias. Asian Americans rated African American librarians lower than White librarians.
 
 Conclusion – This study demonstrates that visible demographic characteristics matter in people’s first impressions of librarians. Findings confirm that diversity initiatives are needed in academic libraries to ensure that all users feel welcome and are encouraged to approach librarians. Regarding gender, programs that deflate the female librarian stereotype may help improve the approachability image of male librarians. Academic libraries should staff the reference desk with individuals covering a wide range of ages, including college-aged interns, whom traditional age students find most approachable. Libraries should also build a racially diverse staff to meet the needs of a racially diverse user population. Since first impressions have lasting effects on the development of social relationships, structural diversity should be a priority for libraries’ diversity programs.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,167 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».