MétaCan
Menu
Back to cohort
Record W190764720 · doi:10.36198/9783838587288

Wirtschaftsgeographie

2018· book· de· W190764720 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typebook
Languagede
FieldEnvironmental Science
TopicEcology, Conservation, and Geographical Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophySociology

Abstract

fetched live from OpenAlex

Klassische und neue Theorien der Wirtschaftsgeographie laden zur kritischen Würdigung ihrer empirischen Anwendbarkeit ein! Die 4. Auflage der Wirtschaftsgeographie wurde von den Autoren vollständig überarbeitet. Traditionelle Konzepte wurden zum besseren Verständnis gestrafft, neuere Ansätze aktualisiert und erweitert. Illustrative Fallbeispiele und über 100 Grafiken unterstützen das vorlesungsbegleitende Selbststudium. Die insgesamt 15 Kapitel sind sechs Buchteilen zugeordnet: Einführung, Ansätze und Grenzen der Raumwirtschaftslehre, Interaktion und Institution, Organisation, Evolution, Innovation. Das moderne Layout erleichtert das Lernen, Fallbeispiele in separaten Infoboxen visualisieren den Transfer in die Praxis. Ein Bachelor- und Master-Studienbuch für Studierende der Geographie, der Sozial- und Wirtschaftswissenschaften sowie alle, die sich für das Verhältnis von Raum und Wirtschaft interessieren. Dieser Titel ist auf verschiedenen e-Book-Plattformen (Amazon, Libreka, Libri) auch als e-Pub-Version für mobile Lesegeräte verfügbar.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.253
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.005
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0660.048

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 head0.010
GPT teacher head0.210
Teacher spread0.201 · 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