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Record W7066418591

Geografija mesta Vancouver

2024· dissertation· sh· W7066418591 on OpenAlexaboutno aff

Bibliographic record

VenueRepository of the University of Ljubljana (University of Ljubljana) · 2024
Typedissertation
Languagesh
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsnot available
Fundersnot available
KeywordsOrder (exchange)Family businessPrimer (cosmetics)
DOInot available

Abstract

fetched live from OpenAlex

Cilj diplomskega dela je prikaz geografskih značilnosti mesta Vancouver. Diplomsko delo celovito obravnava vpliv zgodovinskih dogodkov, gospodarskih in naravnih dejavnikov ter prostorskih politik na razvoj Vancouvra, kar osvetljuje kompleksnost urbanega razvoja tega pomembnega kanadskega mesta. V prvem delu je predstavljen zgodovinski razvoj mesta, vse od staroselcev in prvega stika z Evropejci do začetka modernega Vancouvra s prihodom železnice in razvoja v 20. in 21. stoletju. V drugem delu je opisan vpliv fizičnogeografskih značilnosti okolice na mesto. To so relief, podnebje, hidrogeografija, rastlinstvo in živalstvo. Tretji del je posvečen družbenogeografskim značilnostim. Opisan je demografski razvoj, sestava gospodarstva in razvitost transporta. V zadnjem delu so navedeni razlogi za uspešnost mesta in težave, s katerimi se sooča, vključena so tudi osebna mnenja nekdanjih prebivalcev. Raziskovanje je oprto predvsem na strokovno literaturo in internetne vire ter nadgrajeno z virtualnimi intervjuji. Ne glede na vse težave, s katerimi se je in se sooča, je Vancouver danes simbol razvoja, inovacije in primer uspešnega urbanega razvoja.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.109
Threshold uncertainty score0.220

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0050.001
Scholarly communication0.0040.000
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0280.002

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 head0.194
Teacher spread0.186 · 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 designQualitative
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
Published2024
Admission routes1
Has abstractyes

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