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Record W4401812326 · doi:10.55016/ojs/sppp.v15i1.74699

Population Growth and Population Aging in Alberta Municipalities

2022· article· en· W4401812326 on OpenAlexaffabout
Kevin McQuillan, Michael Laszlo

Bibliographic record

VenueThe School of Public Policy Publications · 2022
Typearticle
Languageen
FieldDecision Sciences
Topicdemographic modeling and climate adaptation
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPopulation growthPopulation ageingPopulationGeographyDemographySociology

Abstract

fetched live from OpenAlex

Between 2011 and 2021, a significant number of Alberta’s towns, villages and rural areas experienced population stagnation or decline, while the cities and many nearby municipalities continued to grow. As smaller municipalities’ populations shrink or fail to grow, they also become disproportionately older—trends that can threaten tax bases and community involvement. This demographic trend has two main causes. First, Alberta’s cities offer increasing employment opportunities in the rapidly growing service sector, while many smaller communities have seen declines in employment in the resource and manufacturing sectors important to their economies and struggle to attract new industries. Thus, as in the rest of the country, towns, villages and municipal districts lose residents, especially young people, to where the jobs are. Second, while the province’s birth rate continues to decline, and overall growth has come to depend almost as much on international immigration as on natural growth, newcomers to the province tend to prefer the major urban areas. Following Alberta’s boom years, the last decade saw decreased migration from other provinces into Alberta and a declining fertility rate. The province’s economy is now on the mend, with the highest employment rate in Canada; however, the once-high birth rates and elevated rates of internal migration from other provinces are unlikely to return. The pace of growth will depend on Alberta’s ability to attract a healthy share of the many new immigrants Canada intends to welcome over the decade ahead. Alberta’s smaller municipalities, in turn, need strategies to attract immigrants. For this, they will require employment opportunities and dedicated resources to assist newcomers. Manitoba has had success in doing this and may offer Alberta an example of how to proceed. Some emerging economic and social trends may work to the benefit of smaller municipalities. For example, industries that require large amounts of land or significant storage facilities often opt to locate outside the big cities. New developments in agriculture and energy, especially in geothermal and hydrogen, may open new opportunities for growth in towns and rural areas. While Alberta is unlikely to replicate B.C.’s success in attracting retirees, the popularity of outdoor recreation provides a chance for many municipalities to attract new residents. Although changes in work practices brought about by the COVID-19 pandemic make future trends difficult to predict, as people continue to work at a distance from their places of employment, it is possible that Alberta could see a demographic shift away from the urban centres. Smaller municipalities may attract both city dwellers and immigrants seeking the benefits of life away from the cities, including bigger and less costly properties. Nevertheless, slower growth and population aging are likely to continue, and communities must use the coming years to prepare, putting in place necessary services, especially those related to health care. This is especially vital in communities far from the urban centres.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.373
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.130
GPT teacher head0.387
Teacher spread0.256 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations1
Published2022
Admission routes2
Has abstractyes

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