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2018· paratext· en· W4240869625 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeparatext
Languageen
FieldSocial Sciences
TopicHigher Education Learning Practices
Canadian institutionsnot available
Fundersnot available
KeywordsIndex (typography)GeographyComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

186À187 provision, 144 at upper secondary level, 156 Akademikersteuer.See Graduate taxes American model of financial aid, 200 Anti-globalist movements, 190À191 Anxiety, 212 debt, 212 graduate labour market, 91À92 Aptitude tests, 245 Articulation arrangements, 111 Audit society, 62 Australian Government, 224, 226, 228, 229, 234À235 Australian HE, student tuition fees in, 225 income-contingent loans, 232À235 personal troubles, 223À225 tuition fees as public issue, 229À232 Australian Labor Government, 231 Bachelor-Master-courses, 168 'Back-to-school' injunctions, 193 Balancing supply and demand in Ireland funding regime and student support, 122À127 HE access, 127À131 policy debates, 134À137 proportion of undergraduate students, 126 structure of Irish higher education, 121À122 253 trends in HE participation, 131À134 Balancing work and study, 217À218 Berufsschule, 167, 168 Bildungsexpansion, 164 Bildungsgutschein.

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)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.255
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0060.009
Science and technology studies0.0030.001
Scholarly communication0.0140.009
Open science0.0030.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.7450.750

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 head0.046
GPT teacher head0.443
Teacher spread0.397 · 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.

Study designNot applicable
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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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Same topicHigher Education Learning PracticesFrench-language works237,207