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Record W2605760791 · doi:10.2307/j.ctt1w0ddf1.6

FUTURE CANADIAN POPULATION TRENDS

2017· book-chapter· en· W2605760791 on OpenAlexaboutno aff

Bibliographic record

VenueMQUP eBooks · 2017
Typebook-chapter
Languageen
FieldSocial Sciences
TopicInsurance, Mortality, Demography, Risk Management
Canadian institutionsnot available
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

Observations are made on the demographic trends that are indicated by a collection of projections for the Canadian population. The coverage of variables includes growth; population composition with respect to sex age mother tongue and schooling; provincial and rural-urban distribution; labor force size; labor force composition with respect to sex age and marital status; numbers of households and families; and housing. Rather than viewing the following figures as positive predictions of what will happen in the future of the Canadian population the reader should see them as a systematic speculation about future values for the variables to which the figures pertain. Canada will continue to participate in the worldwide phenomenon of growing urbanization. Labor force growth rates higher than those of the national population are projected to continue during the next 15 years. The Statistics Canada Series A and C projections do not envisage a major shift in the trend for Canadas age distribution between 1971-1991. The proportion of young children continues to be at a relatively low level compared with the 1950s and the growth rate of the older population has consistently exceeded that of the total population since 1961. Increases are envisaged at least until 1991 in the numbers of households and families.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.932
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.286
Teacher spread0.261 · 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 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

Citations0
Published2017
Admission routes1
Has abstractyes

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