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Record W4232436486 · doi:10.32920/ryerson.14656896

Northern housing project

2021· preprint· en· W4232436486 on OpenAlexaffabout
Serouj Kaloustian

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsIndigenousScarcityEconomic shortageResource (disambiguation)PopulationEnvironmental planningBusinessEconomic growthNatural resource economicsGeographyEnvironmental resource managementEconomicsSociologyGovernment (linguistics)

Abstract

fetched live from OpenAlex

Housing shortages are affecting many cities around the world and Canada is not impervious to the continually growing population’s demand for adequate homes. Iqaluit, Nunavut is yet another city ailed by housing scarcity due to the limited availability of local resources, lack of specialized trades’ people and the harsh local climate that deteriorates most structures. This thesis will delve into the underlying factors currently propagating the continuing housing scarcity and decay in Iqaluit, Nunavut and will seek a new housing type to better accommodate the local population. At present existing western housing developments do not address nor reflect the rich and varied cultural background of locals which restricts traditional way of life. Key factors that help define the objectives and design parameters have been derived from background research into the socio-cultural, climate and current labour and resource realities of the region. The Northern Housing Project with the help of western co-housing concepts will address the needs of the local indigenous inhabitants as well as the requirements of the immigrating population.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.296
Threshold uncertainty score0.990

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2960.079

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 head0.107
GPT teacher head0.435
Teacher spread0.329 · 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
Published2021
Admission routes2
Has abstractyes

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