MétaCan
Menu
Retour à la cohorte
Enregistrement W4386330959 · doi:10.1515/9781772126693-003

1 The Demographic Context of Rural Canada: The Size of the Indigenous and Visible Minority Populations

2023· book-chapter· en· W4386330959 sur OpenAlexaboutno aff
Ray D. Bollman

Notice bibliographique

RevueUniversity of Alberta Press eBooks · 2023
Typebook-chapter
Langueen
DomaineHealth Professions
ThématiqueIndigenous Studies and Ecology
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésIndigenousGeographyContext (archaeology)SocioeconomicsDemographySociologyBiologyEcologyArchaeology

Résumé

récupéré en direct d'OpenAlex

Rurality is commonly described in terms of two geospatial dimensions: density (or population size) and distance-to-density (or distance to an urban centre) (World Bank 2009;Bollman and Reimer 2019).These two dimensions of rurality are depicted as continuums in Figure 1.1, with density along the horizontal axis and distance-to-density along the vertical axis.Communities in the upper-right corner of Figure 1.1 are smaller (i.e., more rural in the density dimension) but located relatively close to a larger centre (i.e., are less rural on the distance-to-density dimension).Communities in the lower-left corner are larger (i.e., less rural in the density dimension) but are located further from a larger centre (i.e., more rural in the distance-todensity dimension).The closer you get in either or both dimensions to the lower-right corner, the higher the overall rurality of the community.The degree of rurality along these two dimensions determines many features of the lived experience of rural residents.For instance, smaller communities may have few available and/or quality services; however, if a smaller community is close to a larger centre, then commuting to the larger centre would enable access to more and better-quality services.Similarly, businesses in smaller communities are limited in the range of goods and services they can sell locally.However, if the community is close to a larger centre, then it is easier to sell into the nearby larger figure 1.1 The two dimensions of the rurality of localities: density and distance-to-density Degree of rurality in the density dimension Degree of rurality in the Low rurality, High rurality, distance-to-density dimension high density low density Low rurality, short distance High rurality, long distance b o l l m a n 5 market and it is easier for individuals to access the types of jobs available in a larger centre.The dimensions of density and distance-to-density offer a straightforward, geospatial way of defining the rurality of the resident population.Working with such a definition separates the concept of the rural from the demographic characteristics-such as age structure, degree of poverty, or ethnic mix-of the individuals and organizations who live or operate in rural communities.The degree to which a community can be called rural depends only on where it falls along the density and distanceto-density axes, not on who lives there.That being said, a community's demographic composition may be correlated with these dimensions of rurality.The degree of diversity of communities might be expected to differ across the rurality dimensions of density and distance-to-density.For instance, the rurality of a community may impact its attractiveness to recent immigrants looking for a place to settle. THE SIZE OF CANADA'S RURAL POPULATIONThis chapter uses statistical thresholds to describe and define the rurality of a community.Almost every classification of rural populations in countries around the world will use a density (or population size) threshold and a threshold of distance-to-density or adjacency.Different thresholds will provide different perspectives on the size and location of the populations and communities that we classify as rural.Table 1.1 shows Canadian communities organized along the two dimensions of rurality.For the purposes of this table, a community is defined as a census subdivision (CSD)-the general term used by Statistics Canada (2016) for "incorporated towns or incorporated municipalities (as determined by provincial/territorial legislation) or for areas treated as municipal equivalents for statistical purposes (e.g., Indian reserves, Indian settlements and unorganized territories)."The Group A and Group B labels in Table 1.1 illustrate alternative thresholds for population size anddistance-to-density. Group A represents communities that I will call "small and remote"; Group B, communities that I will call "smaller and more remote."Using these two (somewhat arbitrary) thresholds and adding up the CSDs in each group, we see that there are 1877 small and remote communities in Canada (36% of all communities).Of these, 527 are smaller and more remote (10% of all communities). CSD population size (density dimension)500,000 100,000 50,000 25,000 10,000 5,000 2,500 1,000 750 500 100 Less All CSDs and over to to to to to to to to to to than 499,999 99,999 49,999 24,999 9,999 5,000 2,499 999 749 499 100 CSD remoteness index Number of CSDs (distance-to-density dimension) Less than 0.09 6 19 15 24 49 30 19 13 3 3 3 2 0.1 to 0.19

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)0,002
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: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,092
Score d'incertitude au seuil0,669

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,006
Études des sciences et des technologies0,0370,007
Communication savante0,0080,003
Science ouverte0,0020,005
Intégrité de la recherche0,0010,004
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 Opus0,034
Tête enseignante GPT0,252
Écart entre enseignants0,217 · 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
GenreAutre

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
Publié2023
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueUniversity of Alberta Press eBooksMême sujetIndigenous Studies and EcologyTravaux en français237 207