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Record W7126615411

Kina

2025· book-chapter· da· W7126615411 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCBS Research Portal (Copenhagen Business School) · 2025
Typebook-chapter
Languageda
FieldSocial Sciences
TopicGlobalization and political ideologies
Canadian institutionsnot available
Fundersnot available
KeywordsWindageClosure (psychology)
DOInot available

Abstract

fetched live from OpenAlex

Kina generelt.<br/>Kina er med et landareal på 9.562.911 km2 verdens tredjestørste land, næst efter Rusland og Canada. Det grænser op til Nordkorea i nordøst, Rusland og Mongoliet i nord, Kasakhstan, Kirgisistan, Tadjikistan, Afghanistan, Pakistan, Indien, Nepal og Bhutan i nordvest og vest, og Myanmar, Laos og Vietnam i syd. Landet er inddelt i 31 provinser, der mht befolkningsmæssige størrelse og økonomi kan sammenlignes med nationer i andre dele af verden.<br/><br/>Kina er på linje med oldtidens Egypten og Mesopotamien en af verdens oprindelige højkulturer, der blomstrede økonomisk og kulturelt på et tidligt tidspunkt i verdenscivilisationernes historie.

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)0.004
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Research integrity, Insufficient 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 score0.497
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0030.004
Scholarly communication0.0020.001
Open science0.0030.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.2890.068

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 head0.140
GPT teacher head0.429
Teacher spread0.288 · 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