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Record W7056569580

Fact book on aging in British Columbia, 4th Edition

2006· book· en· W7056569580 on OpenAlexaboutno aff

Bibliographic record

VenueSummit (Simon Fraser University) · 2006
Typebook
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsCensusEthnic groupData sourceMarital statusTable (database)PopulationService (business)
DOInot available

Abstract

fetched live from OpenAlex

This fourth edition of the Fact Book updates the figures with data from the 2001 census and supplemental sources. Like the first three editions of the Fact Book, the fourth edition references all source documents and presents data primarily in numeric tabular form. Topics covered in this document are listed in the Table of Contents and include: the size and historical rate of growth of the elderly population of British Columbia; trends in life expectancy, mortality rates and causes of death; the marital status of the elderly population; its geographic distribution and residential mobility; ethnic composition; a description of living arrangements and housing; education, employment, and economic status; disabilities; diet and physical activity; and health service utilization. Several other important topics have been omitted, either because provincial information was unavailable or the sample was too small to be considered reliable. These topics include: sources of income; source of family support; criminal victimization rates; and leisure activities.

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)0.006
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.314
Threshold uncertainty score0.632

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.010
Science and technology studies0.0020.001
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0830.045

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 head0.008
GPT teacher head0.200
Teacher spread0.192 · 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

Citations0
Published2006
Admission routes1
Has abstractyes

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