MétaCan
Menu
Back to cohort
Record W3189422269

Stack shack: a modular prefabricated alternative to affordable housing

2021· dissertation· en· W3189422269 on OpenAlexaboutno aff
Cole MacIsaac

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2021
Typedissertation
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsnot available
Fundersnot available
KeywordsAffordable housingStack (abstract data type)Modular designArchitectural engineeringEngineeringComputer scienceConstruction engineeringCivil engineeringOperating system
DOInot available

Abstract

fetched live from OpenAlex

This thesis explores how modular design and
\nprefabricated construction methods can sustainably
\nalleviate the affordable housing crisis in Dartmouth,
\nNova Scotia. In particular, how the efficiencies
\nof these methodologies can be translated into a
\nless expensive dwelling for the owner, taking into
\nconsideration the entire lifecycle of the building.
\nThe proposal is effectively divided into two parts.
\nThe first portion focuses on research, outreach, and
\npartnerships. Part two uses the findings to set the
\nparameters for a holistic design of a dwelling unit that is
\nversatile enough to be successful in a variety of contexts.
\nThe area of Dartmouth affectionately known as
\nBetween the Bridges is used as a case study for a
\nhousing intervention. This somewhat marginalized
\ncommunity of roughly 13,000 is a well established
\nresidential neighbourhood that has access to
\namenities and transit routes, and is ripe for the
\naddition of minimally disruptive hidden density.
\nWith an average household income that is half of the 
\nrest of Halifax, the thesis proposes that if a model
\nproves to be successful here, it could theoretically
\nbe implemented and replicated in other housing
\nmarkets all over the country. In essence, the site is
\nconsidered an epicentre instead of a one-off proposal.
\nIt is argued that a multi-pronged approach is
\nnecessary, and that no single non-profit, institution,
\nor private developer can relieve the stresses that
\npeople are feeling in the face of homelessness.
\nFor that reason, this proposal sets out to develop a
\nunit that can be implemented through a variety of
\norganizations, in a multitude of contexts and scales,
\nand serves diverse and dynamic demographics.
\nThrough strategic partnerships with non-profits,
\nvarious organizations, social enterprises, and
\nreligious institutions, the aim is to secure funding
\nand identify potential personnel who could
\nbenefit from the architectural proposal. The thesis
\nprocess acts as the “front end design” required to
\ndevelop a successful prefabricated housing unit.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.688
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.008
GPT teacher head0.195
Teacher spread0.187 · 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 teacher head, not a consensus.

Study designSimulation or modeling
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 routes1
Has abstractyes

Explore more

Same venueLu Zone Ul (Laurentian University)Same topicArchitecture and Computational DesignFrench-language works237,207