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Record W6989696729

Building Connected Communities: Halton – 2016 Census Older Immigrants

2018· article· en· W6989696729 on OpenAlexaboutno aff

Bibliographic record

VenueSOURCE Sheridan's Institutional Repository (Sheridan College) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLonelinessCensusSocial isolationImmigrationIsolation (microbiology)Resource (disambiguation)
DOInot available

Abstract

fetched live from OpenAlex

This data sheet provides a picture of the available relevant characteristics of the community at the time of the census (2016). We have included data both from those individuals over the age of 65 at the time of the census, as well as those who are in the age cohort just below (50 – 64), so those engaged in planning for future community needs can anticipate where growth or reduction in needs may be.\nThese numbers may be used to provide an overall picture of the municipality or region as a whole, and may be used to help guide municipality/region-wide decision making about where resources could be allocated in order to combat social isolation in the region. Used in concert with the interactive maps in this toolkit, planners can identify the geographic areas where these resources would see the greatest potential benefit.\nThis resource is included in the Social Isolation and Loneliness Toolkit, created by the Centre for Elder Research in Oakville ON, Canada. The Toolkit is part of a research project titled “Building Connected Communities: improving Community Supports to Reduce Loneliness and Social Isolation in Immigrants 65+”. The research focused on exploring strategies to effectively reach out to, and support, older immigrants who may be experiencing, or are at risk of experiencing, social isolation and/or loneliness.

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 categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.786
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
Bibliometrics0.0000.001
Science and technology studies0.0100.003
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 head0.013
GPT teacher head0.268
Teacher spread0.255 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2018
Admission routes1
Has abstractyes

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Same venueSOURCE Sheridan's Institutional Repository (Sheridan College)Same topicMigration, Aging, and Tourism StudiesFrench-language works237,207