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Enregistrement W1491811822 · doi:10.18438/b86s42

Local Public Libraries Serve Important Functions as Meeting Places, but Demographic Variables Appear Significant, Suggesting a Need for Extensive Further Research

2012· article· en· W1491811822 sur OpenAlexvenueno aff
R. Laval Hunsucker

Notice bibliographique

RevueEvidence Based Library and Information Practice · 2012
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueLibrary Science and Administration
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBoroughPhoneSample (material)PsychologyTelephone surveyMedicineMarketingBusiness

Résumé

récupéré en direct d'OpenAlex

Abstract
 
 Objective – The investigators hoped to gain an understanding of the extent to which local public libraries are used by their visitors as meeting places, and in what ways. Furthermore, they sought to determine whether certain demographic variables correlate with variations in these ways of using the library. Finally, they were looking for evidence of a relationship between the degree of the subjects’ general community involvement on the one hand, and their participation in various types of meetings in the library on the other.
 
 Design – Questionnaire-based telephone survey.
 
 Setting – Oslo, Norway.
 Subjects – 750 adult residents (eighteen years or older) from 3 of Oslo’s 15 boroughs.
 
 Methods – The researchers selected these boroughs (not identified in this article and referred to, unusually, as “townships”) because they judged them to represent three demographically varying types of urban community. In March of 2006, a professional survey organization drew numbers at random from a database of telephone numbers in each borough, continuing until it had reached the desired number of 250 actual survey respondents, including cell phone users, for each borough. It weighted the sample according to gender and age, and administered the telephone interviews on the basis of a questionnaire which the researchers had designed to yield quantitative data for ten independent, and seven dependent, variables. Interviewers asked the respondents to answer questions on the basis of their entire recollected personal history of public library use, rather than during a specific defined period. 
 
 Six of the independent variables were demographic: borough of residence, occupational category, age category, educational level, cultural/linguistic background (dichotomous: either non-Norwegian or Norwegian), and household income category. The other four were: level of participation in local activities, degree of involvement in community improvement activities, degree to which a subject trusted various community institutions, and frequency of local library use. “Meeting intensity,” or the number of different meeting types for which a given subject could remember ever having used the library, was one dependent variable. The others were participation/non-participation in each of the six defined meeting types. The researchers employed hierarchical multiple regression analyses for determining degrees of correlation.
 
 Main Results – “Meeting intensity” correlated significantly and positively not only with frequency of library use in general, but also with the number of local activities participated in and level of involvement in community improvement activities, as well as with non-Norwegian cultural/linguistic background. It correlated significantly and negatively with household income. The investigators report no significant relationship of meeting intensity with occupational or age category, or with level of education. Participation in certain of the defined meeting types did correlate significantly with certain independent variables. Respondents tend to turn to the local public library more for “public sphere” meetings as they grow older. Participation in this kind of meeting is likewise more common among those with a higher level of community involvement and engagement, but also among the lower-income respondents. High-intensive “joint activities” meetings with friends, acquaintances, colleagues or classmates are especially popular among adults in the lower age categories, as well as among respondents with a lower level of education and with a lower household income. “Virtual” meetings (via library Internet use), also defined as a high-intensive meeting type, are especially popular with the occupational categories “job seeker” and “homemaker,” as well as with the younger respondents and with those who have a lower household income. Use of the local public library for both the “virtual” and the “joint-activities” types of meetings is also considerably more common among those with a non-Norwegian cultural/linguistic background. Frequency of library use in general was not related to participation in either of these two types of meetings at the library, but it was related to library use for the more low-intensive meeting types (chance meetings and encounters, library as rendezvous point for joint activities elsewhere), as well as to what the investigators term using the library as a “metameeting place,” i.e., a place for finding “information about other arenas and activities” in the local community.
 
 Conclusion – The local public library seems to serve, for many of its patrons, an important function as venue for meetings of various kinds. In general, using it for meeting purposes appears to be something that appeals more to younger than to older adults, more to those in the lower than to those in the higher income categories, and more to those with an immigrant than to those with an indigenous background. The perhaps even less expected finding that use of the library for a relatively intensive, instrumental kind of meeting activity correlates significantly with a lower level of education would particularly suggest a need for further research. Noteworthy, as well, is the apparent fact that those who make use of the local public library as a venue for relatively intensive meeting activity, whether physical or virtual, tend to come to the library expressly for that purpose, and visit the library less often for other reasons than do other library users. The urban districts in which respondents resided were in fact not internally homogeneous enough, nor socio-economically distinct enough from one another, to yield correlations of practical evidentiary value. 
 
 It was the researchers’ working assumption that their three independent variables of community engagement – i.e., level of participation in local activities, degree of involvement in community improvement activities, and degree to which one trusts community institutions – can be taken together to represent the amount of a respondent’s “social capital.” They detected, in general, a positive correlation between the extent of such “social capital” and the use of the library as a meeting place. Neither the strength nor the direction of this relationship was clear, however, from the results of this study: both will have to be explored through further research. “Does the library contribute to generating social capital,” they ask, “or is the use of the library as a meeting place a result of pre-existing social capital?” (p. 25) They were hoping at least to discover whether the library, specifically in its role as a low-intensive and “public sphere” meeting place, contributes to the generation of “bridging” social capital between citizens of differing cultural backgrounds, with differing values, viewpoints, and interests. Though their findings did not justify this conclusion, and Skøtt’s (2005) study even contradicts it, the researchers nevertheless express their confidence that, while not a genuine “third place” in the sense intended by Oldenburg (1999), “the library as a meeting place plays a substantial role in equalizing the possibilities of being an active citizen across social and economic differences” (p. 25). But however that may be, they are in any case convinced that their questionnaire and categorization scheme for meeting types have now shown their value, and that the grouping of types into “low-intensive” versus “high-intensive” appears to be fruitful. They do concede that their approach still requires more thorough and detailed examination, and that their survey instrument must be further refined and developed.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,011
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Études des sciences et des technologies, Communication savante
Catégories consensuellesCommunication savante
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,950
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0060,011
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,002
Études des sciences et des technologies0,0020,001
Communication savante0,0020,338
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,063
Tête enseignante GPT0,326
Écart entre enseignants0,264 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2012
Routes d'admission1
Résumé présentoui

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