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Record W3012009071 · doi:10.4324/9781315638386-13

Grey ghettos

2016· book-chapter· en· W3012009071 on OpenAlexaboutno aff
Gina Sylvestre, Nora Cristall

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsGrey literaturePolitical scienceLawMEDLINE

Abstract

fetched live from OpenAlex

With a conceptualization of spheres theorized to impact inclusion and exclusion of seniors in the inner city mosaic, the study utilized participatory action research methods to engage key informants in drawing their knowledge and obtaining feedback regarding the introductory framework. This chapter introduces an enhanced framework with the ultimate goal to more systematically recognize the threats to social inclusion for the older population in the post-modern Canadian city. In the study of a grey ghetto, the chapter examines the challenges to maintain independence and the engagement of seniors across the spheres of material resources, the neighborhood, services and programs, the community and the individual. It focuses on the risks of exclusion for seniors living in poverty and discusses the specific effects of income benefits and the social safety net impacting Canadian seniors. It discusses the context of the inner city of Winnipeg, Manitoba, by introducing the historical urban context and then to the post-modern city.

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)0.001
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 score0.428
Threshold uncertainty score0.851

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0100.006
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0820.014

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 head0.063
GPT teacher head0.385
Teacher spread0.323 · 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
Published2016
Admission routes1
Has abstractyes

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