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Record W7135998520

Migration Flows

2020· book-chapter· en· W7135998520 on OpenAlex
Thomas Gammeltoft-Hansen

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

VenueResearch at the University of Copenhagen (University of Copenhagen) · 2020
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicEarth Systems and Cosmic Evolution
Canadian institutionsCentre for International Governance Innovation
Fundersnot available
KeywordsRail transportation
DOInot available

Abstract

fetched live from OpenAlex

Jorden er trådt ind i en ny geologisk tidsalder: den antropocæne. Mennesket er den dominerende livsform på planeten, og klimakrisen er en realitet. En realitet så omfattende og kompleks at vores eksisterende viden om naturkatastrofer ikke rækker. Med de udfordringer verden står overfor, er det nødvendigt at se på, hvad der binder os sammen, og hvordan vi kan styrke de tråde, der løber mellem alt levende — den intime, fundamentale forbindelse mellem mennesker og natur, som vi har glemt i dag.<br/><br/>Bogen er en referenceramme og en ufuldstændig encyklopædi. En ufuldstændighed der afspejler verdens opbrudte, sammensatte tilstand. Det er ikke muligt at tegne et præcist, fuldkomment billede af en planet under forandring, og det rækker ikke at isolere problemerne eller at betragte det antropocæne fra et begrænset perspektiv eller fagområde. Bogen forsøger at fange de vigtigste positioner i den omskiftelige debat omkring planetens tilstand, samlet under spørgsmålet: Hvordan lever vi sammen? Og hvem er vi, når vi ikke blot er mennesker, men også natur?<br/><br/>Denne engelsksprogede antologi rummer bidrag af knap 100 danske og internationale forfattere, forskere, filosoffer, kunstnere og arkitekter, heriblandt Bruno Latour, Donna Haraway, Peter Weibel, Greta Thunberg, Björk, Connie Hedegaard, Minik Rosing, Carsten Jensen, Josefine Klougart, SUPERFLEX og Tomás Saraceno.

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), 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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.458
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.6650.208

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 head0.048
GPT teacher head0.216
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