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Record W4289552001 · doi:10.7771/2832-9414.1889

Front Matter

2021· paratext· en· W4289552001 on OpenAlexfundno aff

Bibliographic record

Venue˜The œWriting center journal · 2021
Typeparatext
Languageen
Field
Topic
Canadian institutionsnot available
FundersUniversity of Washington BothellUniversity of Colorado BoulderUniversity of WestminsterUniversity of AlbertaWest Chester UniversityUniversität WienFlorida Agricultural and Mechanical UniversityMarquette UniversityUniversity of AlabamaAzusa Pacific UniversityTemple UniversityKent State UniversityUniversity of DenverLeibniz-GemeinschaftMontana State UniversityUtah State UniversityWest Virginia UniversityAmerican University of SharjahNorth Carolina Central UniversityAmerican University of BeirutTexas State UniversityBall State UniversityPennsylvania State UniversityUniversity of LimerickTexas Christian UniversityGeorgia Southern UniversityLouisiana State UniversityCollege of Engineering, Michigan State UniversityUniversity of WashingtonMichigan State UniversityUniversity of LouisvilleLoyola University ChicagoSan Diego State UniversityUniversity of MinnesotaOklahoma State UniversityMcGill UniversityWorcester Polytechnic InstituteUniversity of Wisconsin-MadisonGrand Valley State UniversityUniversity of PennsylvaniaWestern Washington UniversityHarvey Mudd CollegeGeorge Mason University
KeywordsFront (military)GeologyOceanography

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: Other · Consensus signal: Other
Teacher disagreement score0.035
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0030.001
Scholarly communication0.0090.004
Open science0.0010.003
Research integrity0.0050.002
Insufficient payload (model declined to judge)0.9650.959

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 head0.018
GPT teacher head0.276
Teacher spread0.257 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractno

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Same venue˜The œWriting center journalFrench-language works237,207