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Record W6989562210

Beşerî coğrafya açısından Türkiye-Kanada ilişkileri

2014· article· fr· W6989562210 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

VenueDspace Repository (Marmara Üniversitesi) · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicMedia Discourse and Social Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationResearch methodologyStatistical analysis
DOInot available

Abstract

fetched live from OpenAlex

Le Canada, qui couvre la moitiâ supârieure du continent nord-amâricain, est le deuxiâme pays au monde pour sa superflcie. 
\n
\nII sötend sur plus 5500 kilomâtres de LAtlantique au Pacifiçue, et sur plus de 4600 kilomâtres depuis la pointe la plus au nord de İlle Ellesmere jusquâ la frontiâre amâricaine. II compte 27 millions dhabitants.
\n
\nL'anglais et le français, langues officielles du pays, possedent un statut et des droits egaux. Le français est la langue maternelle de la majoritâ des citoyens bilingues. La population du Canada sa caractârise principalement Ğtâ un 
\nfacteur d'accroissement dâmographique important.
\n
\nLa gâographie, le commerce et l'histoire ont tissâ de solides liens entre le Canada et les Etats-Unis.
\n
\nLes relations turco-canadiennes, surtout commerciales ne sont pas satisfaisantes.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.301
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.007
GPT teacher head0.235
Teacher spread0.228 · 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