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Record W4376550673 · doi:10.7765/9781526158727.00006

Abbreviations and glossary

2020· book-chapter· en· W4376550673 on OpenAlexaboutno aff

Bibliographic record

VenueManchester University Press eBooks · 2020
Typebook-chapter
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsnot available
Fundersnot available
KeywordsGlossaryComputer scienceLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Basic Income Earth Network CAFOD Catholic Agency For Overseas Development EU 28The 28 member states of the EU FSI Ferrovie dello Stato Italiane (Italian rail holding company) G7A group of seven countries (Canada, France, Germany, Italy, Japan, the UK and the US) which meet periodically to discuss economic and finance issues G20A group of 19 countries plus the EU whose governments and central banks meet periodically and work together on some policies GDP Gross Domestic Product.GDP is measured as the value of all the finished goods and services produced in a particular place (e.g. a region or nation) during a specific period (e.g. a year) GM Greater Manchester.The Greater Manchester city region covers ten boroughs -Bolton, Bury, Manchester, Oldham, Rochdale, Salford, Stockport, Tameside, Trafford, Wigan GMCA Greater Manchester Combined Authority.A regional governing body covering the ten boroughs that comprise the Greater Manchester city region GNI Gross National Income.GNI is the total domestic and foreign output claimed by residents of a country:

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.992
Threshold uncertainty score0.652

Codex and Gemma teacher scores by category

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

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 head0.050
GPT teacher head0.244
Teacher spread0.193 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2020
Admission routes1
Has abstractyes

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