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Record W6959431314 · doi:10.11575/prism/17915

Life downtown: a strategy to encourage market-rate housing in Calgary's downtown

2004· other· en· W6959431314 on OpenAlexaboutno aff

Bibliographic record

VenuePRISM (University of Calgary) · 2004
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicPasture and Agricultural Systems
Canadian institutionsnot available
Fundersnot available
KeywordsDowntownVitalityWork (physics)Sustainable developmentCentral business districtSustainable cityUrban planning

Abstract

fetched live from OpenAlex

This Master's Degree Project (MDP) looked at ways that the Calgary City Council and planners can foster market-rate housing developments in the City's central business district (CBD). The policy objects are two fold: to increase the vitality of the 'dead' downtown core after business hours and to decrease some of the pressure on suburban development leading towards a more sustainable city. The MDP's purpose was to describe some strategies that could work for the City to increase the number of residential units in the CBD after examining the approaches for other Canadian and American cities. Attitudinal interviews were held with some members of the downtown residential development industry and with some of the Aldermen who were available for comment. The conclusions drawn suggest that it may only be a matter of timing before the market in Calgary is at a stage where the CBD becomes attractive enough to support housing developments. Some citizens of Calgary are already beginning to see the benefits of living in downtown; whereas, it will just take longer for other to accept residences in the Central Business District.

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: Other · Consensus signal: none
Teacher disagreement score0.355
Threshold uncertainty score0.714

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0070.002
Scholarly communication0.0020.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.001

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 head0.011
GPT teacher head0.179
Teacher spread0.168 · 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
Published2004
Admission routes1
Has abstractyes

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