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Record W2906846799 · doi:10.22215/etd/2018-12899

Grandmother's House: A Self-sustaining Community for Indigenous Seniors in Edmonton's Urban Core

2018· dissertation· en· W2906846799 on OpenAlexaboutno aff
Krysten Nicoll

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousDowntownSettlement (finance)Unit (ring theory)FriendshipPopulationGeographyGerontologySociologyMedicinePsychologyDemographyArchaeologyBusinessSocial science

Abstract

fetched live from OpenAlex

Edmonton, Alberta has the second largest urban population of Indigenous people in all of Canada. Unfortunately, the city also has significant discrimination against Indigenous people. Discrimination is of one of the factors in the large indigenous homeless, which includes many seniors who are the sole caretakers of children. There is a need to house three-thousand urban indigenous seniors, their children, and grandchildren within Edmonton. Case studies of a current Métis seniors housing in Edmonton, friendship centers in Vancouver, and a multigenerational housing unit in the Netherlands shed light on what is currently available for Indigenous seniors and what models are working elsewhere that should be integrated into Indigenous seniors housing in Edmonton. While accounting for Edmonton's existing and proposed infrastructure as well as the city's settlement patterns, is it possible to create a culturally appropriate Indigenous community within Edmonton's downtown core?

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.569
Threshold uncertainty score0.858

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0120.002
Scholarly communication0.0010.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.022
GPT teacher head0.326
Teacher spread0.304 · 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 designQualitative
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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