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Record W4390071708 · doi:10.1353/ndq.2023.a915763

After The Second Date

2023· article· en· W4390071708 on OpenAlexaboutno aff
David Woodward

Bibliographic record

Venue˜The œNorth Dakota quarterly · 2023
Typearticle
Languageen
FieldMedicine
TopicMedical and Biological Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsWifeArt historyHistoryArtEnvironmental ethicsLawPhilosophyPolitical science

Abstract

fetched live from OpenAlex

After The Second Date David Woodward (bio) i thinki noddedclumsilyor wavednonchalantlyor smiledtight-lippedthe wordnot yetinmy developingvocabularythe actionnot yetcognizantof howto makeproducea childto besomewhereout therespeakingpushingwantingthe dimensionstogetherthe onlyone awareof whatthe hellwas goingon. [End Page 77] David Woodward david woodward lives just south of Montreal with his wife and son. This piece was inspired by them, along with The Tibetan Book of the Dead, Krishnamurti, and the Vancouver rain. Future in-laws were also highly inspirational. Thank you to all. Copyright © 2023 University of North Dakota

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)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.271
Threshold uncertainty score0.908

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0070.003
Scholarly communication0.0100.006
Open science0.0010.005
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.2710.140

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 head0.260
Teacher spread0.236 · 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.

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
Published2023
Admission routes1
Has abstractyes

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Same venue˜The œNorth Dakota quarterlySame topicMedical and Biological SciencesFrench-language works237,207