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Record W2914899908 · doi:10.18355/xl.2019.12.01xl.01

French Academy of Sciences and the new orthography

2019· article· en· W2914899908 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

VenueXLinguae · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Linguistics and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOrthographyLinguisticsLibrary scienceComputer sciencePhilosophyReading (process)

Abstract

fetched live from OpenAlex

Why do learners readily adopt the orthographic corrections from 1990? They eliminate inconsistencies and irregularities (bonhommie aligns with bonhomme). They rationalize the singular and the plural of the compound names of the type portebagage, the conjugation of the verbs in -eler and -eter, the writing of borrowed words (weekend, dsidrata) as well as their plural (des matchs, des whiskys). They largely correspond to the natural evolution of pronunciation and spelling. They touch 2,400 words. The Petit Larousse and the proofreaders take this into account. If we apply them all, less than one word per page is changed. Often, change only affects one accent (allgement, connaitre, couter). Without necessarily being taught, the new spellings are widely used in Belgium, Quebec, Switzerland and France. Traditional spellings remain valid. Neither of the two spellings (neither the old nor the new) can be held to be at fault. The rectifications from 1990, which are orthographic variants, are recommended by the French Academy of science.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.975
Threshold uncertainty score0.435

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 studies0.0000.001
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 head0.024
GPT teacher head0.251
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