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Record W7028674059

Fasteignamarkaður Kanada. Eru fasteignir undirverðlagðar í Montréal?

2018· dissertation· is· W7028674059 on OpenAlexaboutno aff

Bibliographic record

VenueSkemman · 2018
Typedissertation
Languageis
FieldArts and Humanities
TopicTechnology, Environment, Urban Planning
Canadian institutionsnot available
Fundersnot available
KeywordsSewage sludgeRaw materialYield (engineering)
DOInot available

Abstract

fetched live from OpenAlex

Ritgerðin fjallar um hvort fasteignir séu almennt undirverðlagðar á stór Montréal svæðinu í Quebéc fylki í Kanada. Umfjöllunin fer yfir eðli fasteigna sem hluta af eignasafni einstaklinga, áhættur sem því tengjast og hvaða áhrifavaldar það eru sem spila inn í fasteignaverð. Einnig er farið yfir hvort greining á þeim sé nothæf í þeim tilgangi að leggja mat á það hvort fasteignir á svæðinu séu almennt undirverðlagðar. \n\tNiðurstaða ritgerðarinnar leiddi í ljós að á sama tíma og efnahagurinn í Montréal hefur styrkst undanfarið og atvinnuleysi mælst í lægsta móti síðan í upphafi 21. aldarinnar hefur framboð fasteigna verið stöðugt bæði á sölumarkaði og leigumarkaði. Strangari skilyrði um lán frá fjármálastofnunum ásamt hækkandi vöxtum undanfarin misseri virðast til skemmri tíma hafa leitt til þess það að ungt fólk sæki í ríkari mæli á leigumarkaðinn frekar en að fjárfesta í fasteign.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.310
Threshold uncertainty score0.984

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.002
Scholarly communication0.0080.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3100.078

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 head0.014
GPT teacher head0.208
Teacher spread0.194 · 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.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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