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Enregistrement W2339205691 · doi:10.14288/1.0302561

Neighbourliness and fringe location

2011· article· en· W2339205691 sur OpenAlexaffabout

Notice bibliographique

RevueOpen Collections · 2011
Typearticle
Langueen
DomaineEngineering
ThématiqueStructural Analysis of Composite Materials
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésGeographyComputer science

Résumé

récupéré en direct d'OpenAlex

The purpose of this report is to measure the effect of isolation on neighbourliness in fringe communities. Isolation is defined as a result of location and inadequate transportation. It is suggested that the location of a community can influence social behavior among residents in three ways: (1) By influencing the physical community characteristics which could influence social behavior. (2) By selecting a residential population with a particular pattern of behavior. (3) By influencing the spatial and temporal patterns of behavior among fringe residents. A measurement of this last factor will be the topic of the report. Time, distance and transportation limit the fringe resident in the selection of his social relationships. The commuter appears to participate more in the activities of the central city or its satellites than in the activities of the dormitory community. The non-commuter, on the other hand, is more likely to take part in the activities in the residential environment. The thesis to be tested in this study is; that neighbourliness among non-commuting housewives will increase with the isolation of the residential community. This thesis is based on the following assumptions: (1) That, the isolation of a fringe community increases the probability of social contact among non-commuting residents by reducing the opportunity for selecting relationships on the basis of personal predispositions and increasing the opportunity for relationships based on convenience. (2) That, the degree of neighbourliness will increase with the probability of social contact among fringe residents. In order to test these propositions, neighbourliness is studied among the residents of 11 fringe communities and 3 urban control communities in the Greater Vancouver Area. Neighbourliness among residents is measured in terms of the percentage of informants visiting their neighbours often. The degree of isolation of a community has been measured in terms of the distances toward selected destinations which are assumed to be of daily importance to the fringe housewife and in terms of the distance to the nearest bus stop and the frequency of bus services. These measures of location are combined in a ranking scale, obtained by attaching a numerical value to the evaluations Good (0), Fair (6 1/4) and Poor (12 1/2). The highest possible isolation score would be 100, representing a 'poor' evaluation for each of the 8 measures used. The actual test consists of comparing the percentage of people that visit their neighbours often with the isolation score of their community, obtained as described above. In addition to this measure of locational factors, a measure of non-locational determinants of neighbourliness was made. The possible influence of physical community characteristics, differences in services and facilities, size and age of communities and length of stay were evaluated. The characteristics of all informants that visit their neighbours often is compared with the characteristics of those that do not, in order to establish the influence of household characteristics such as household composition and children's age groups, and social and economic characteristics such as differences in occupational and income classes. The result of the test comparison shows a rough correlation between the isolation scores and the neighbourliness scores, in the sense that communities with a low isolation score tend to have low neighbourliness percentages and those with a high degree of isolation tend to have higher neighbourliness scores. Yet, there are significant anomalies which preclude a clear conclusion whether location does or does not influence neighbourliness among fringe residents. On the other hand, some of the control tests on non-locational influences reveal some interesting information which seems to validate the propositions made in this study. It appears that housewives without private means of transportation during the day-time and housewives who have the care of young children under 5 years of age are more neighbourly than those who have the use of a car and have older children. In addition it was found that housewives who are occupied at home are more neighbourly than those working away from home. These factors seem to indicate that there are non-locational factors that seem to 'isolate' the housewife from regular contacts with the outside world. In addition to these household characteristics, the length of stay and occupational class were found to be related to neighbourliness. These findings would suggest that the most obvious explanation of a high incidence of neighbourliness in the fringe has to be sought in the selection of a particular fringe population with characteristics conducive to neighbourliness. However, this does not preclude the possibility of locational influences on neighbourliness. It is suggested that the influence of location is of a rather subtle and complex nature, so that substantially more information has to be obtained on the demand for movement among various categories of people before meaningful measurements can be made on the extent to which ecological position influences the movement of people.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,010
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil0,029

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,010
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0090,001

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 Opus0,022
Tête enseignante GPT0,215
Écart entre enseignants0,193 · 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; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
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

Citations0
Publié2011
Routes d'admission2
Résumé présentoui

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