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Record W7111835977

Under the Same Roof: Intergovernmental Relations in Canadian Housing Policy Since 2017

2025· dissertation· W7111835977 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2025
Typedissertation
Language
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)Public policyWork (physics)Legislation
DOInot available

Abstract

fetched live from OpenAlex

The 2017 National Housing Strategy (NHS) is a significant re-engagement of the Canadian federal government in housing policy for the first time in over thirty years. Reengagement is unusual within Canadian federalism, which tends to favour provincial powers, making this a rare opportunity to view how provincial-federal relations are built and maintained outside of traditional areas like health and taxation. To better understand this deepening of intergovernmental relations, a literature review and content analysis of federal and provincial policy documents and agreements from the Federal, British Columbia, Ontario, and Nova Scotia Governments was conducted to determine what form this relationship takes, where it works well, and where there are potential areas of tension. The results found that while federal re-engagement through the NHS is mostly viewed positively, there remain significant challenges in provincial-federal negotiations. These challenges could be mediated by determining a mutually designed and agreed-upon framework for setting priorities.

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)0.004
metaresearch head score (Gemma)0.008
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: none
Teacher disagreement score0.186
Threshold uncertainty score0.944

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.007
Science and technology studies0.0180.005
Scholarly communication0.0110.004
Open science0.0020.003
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0460.002

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 head0.023
GPT teacher head0.239
Teacher spread0.215 · 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
Published2025
Admission routes1
Has abstractno

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