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Record W3209077538 · doi:10.32920/ryerson.14653077.v1

The Community Housing Plan: The Role Of Capacity In Canadian On-Reserve Housing Policy

2021· preprint· en· W3209077538 on OpenAlexaffabout
Kristen Harder

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsToronto Metropolitan UniversityUniversity of Calgary
FundersAustralian Government
KeywordsPlan (archaeology)IndigenousGovernment (linguistics)Corporate governanceBusinessEconomic growthPublic administrationFinanceEconomicsPolitical scienceGeography

Abstract

fetched live from OpenAlex

On-Reserve Housing Policy is failing First Nation communities across Canada as it appears unable to meet the complex housing needs of First Nations people, or effectively manage the operation of housing systems on reserve. This paper explores whether a relationship exists between the ability of First Nations to develop and implement a Community Housing Plan (CHP) and capacity development on-reserve. It does this by questioning whether on-reserve housing policy has created the appropriate administrative, financial and governance capacity to support the successful implementation of Community Housing Plans onreserve. The research uses qualitative methodology, reviewing literature and seven reports that explore Indigenous history in Canada and Canadian On-Reserve Housing Policy. The findings contemplate the wider implications of On-Reserve Housing Policy when First Nation capacity is not supported by the Federal Government, and the role of planning in the decolonization of Indigenous housing and policy.

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)0.006
metaresearch head score (Gemma)0.013
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score0.961

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0160.015
Scholarly communication0.0080.003
Open science0.0020.005
Research integrity0.0010.002
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 head0.067
GPT teacher head0.329
Teacher spread0.263 · 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
Published2021
Admission routes2
Has abstractyes

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