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Les déterminants de la valeur marchande des propriétés résidentielles unifamiliales de I‘île de Montréal: Évaluation de masse conjuguée aux SIG

2002· article· fr· W2120587049 on OpenAlexaffvenueabout
Ünsal Özdilek, J.F. Canonne, Claude Besner

Bibliographic record

VenueCanadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration · 2002
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicHousing Market and Economics
Canadian institutionsUniversité du QuébecUniversité du Québec à MontréalUniversité de Montréal
Fundersnot available
KeywordsValuation (finance)HumanitiesWelfare economicsEconomicsMathematicsEconomyPhilosophyFinance

Abstract

fetched live from OpenAlex

Résumé Cette étude vise à quantifier la part monétaire (ou prix marginaux) de chacun des déterminants (caractéristiques) structurels, spatiaux, financiers, et socioéconomiques des prix de transaction de propriétés unifamiliales sur l'île de Montréal. Cet objectif est accompli par la conception d'un Modèle Global d'évaluation de masse reposant sur l'application de l'approche hédonique et d'une banque de données de 17 858 propriétés transigées entre 1997 et 2000. Abstract The aim of this study is to quantify the monetary value (or marginal prices) of structural, spatial, financial, and socio‐economic cost drivers (features) in the transaction of single‐family properties on the Montréal island. This aim is achieved through the conception of a Global Model of mass evaluation based on the application of the hedonic approach and the use of a data bank of 17,858 properties sold between 1997 and 2000.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.219
Threshold uncertainty score0.440

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.191
GPT teacher head0.329
Teacher spread0.138 · 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 designObservational
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

Citations1
Published2002
Admission routes3
Has abstractyes

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Same venueCanadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l AdministrationSame topicHousing Market and EconomicsFrench-language works237,207