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Record W2271048336 · doi:10.1108/ohi-04-2009-b0004

Flexible Design of Public Housing in Iqaluit, Nunavut, Canada

2009· article· en· W2271048336 on OpenAlexaffabout
Elizabeth Debicka, Avi Friedman

Bibliographic record

VenueOpen House International · 2009
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsMcGill University
Fundersnot available
KeywordsRedevelopmentFlexibility (engineering)Public housingOccupancyArchitectural engineeringEnvironmental planningArcticBusinessEnvironmental resource managementEngineeringCivil engineeringGeographyEnvironmental scienceEcology

Abstract

fetched live from OpenAlex

Public housing delivered in the Canadian Arctic has been ill-adapted to the social and cultural realities of Inuit communities and to northern climate. Inadequate consultation has resulted in dwellings that fails to adapt to the needs of growing families, impedes the ability of residents to engage in land-based activities, and is inappropriate for local climate. This paper examines how a user-led, flexible approach can help tailor the design of new public homes to the needs of the local housing authority and future occupants. Flexibility is incorporated into the pre-occupancy, post-occupancy and refurbishment stages of the units life-cycle, ensuring that they can be easily adapted over time. A menu of interior and exterior design components has been developed for selection by all stakeholders. The redevelopment of Widow's Row, in Iqaluit, Nunavut demonstrates how appropriate design can play a pivotal role in addressing the housing crisis.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.130
GPT teacher head0.408
Teacher spread0.278 · 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
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

Citations4
Published2009
Admission routes2
Has abstractyes

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