MétaCan
Menu
Back to cohort
Record 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 on OpenAlexaboutno aff
Ray D. Bollman

Bibliographic record

VenueUniversity of Alberta Press eBooks · 2023
Typebook-chapter
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousGeographyContext (archaeology)SocioeconomicsDemographySociologyBiologyEcologyArchaeology

Abstract

fetched live from 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

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.092
Threshold uncertainty score0.669

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0370.007
Scholarly communication0.0080.003
Open science0.0020.005
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0090.001

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 head0.034
GPT teacher head0.252
Teacher spread0.217 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueUniversity of Alberta Press eBooksSame topicIndigenous Studies and EcologyFrench-language works237,207