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Record W7013141142

What They Lost

2003· article· en· W7013141142 on OpenAlexaboutno aff

Bibliographic record

VenueIowa Research Online (The University of Iowa) · 2003
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican and British Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Period (music)FellWhite (mutation)Masking (illustration)Theme (computing)
DOInot available

Abstract

fetched live from OpenAlex

What They LostThey crossed the Seine at pont Solferino just as the sun dropped down into clouds that presaged rain.They had spent most of the day in the shops of Palais Royal, not so much shopping as brows ing, although they did buy a few very old picture postcards and a French flag from the medallion boutique.Now they were going to their favorite cafe in the heart of the Latin Quarter where they knew Ahmed was just beginning to prepare the brochette de mouton for the spits and the couscous for the pots.They turned down rue de l'Universit?which, they knew, would become rue Jacob, and maybe this time they would locate Hemingway and Hadley's apartment.Mus?e d'Orsay was dark against the sky, but the little tabac oppo site was brightly lit, and Carolina reminded James that he really ought to allow himself a package of Caf? Creme blond since he loved to have an occasional cigar when they were in Paris.?I really shouldn't, he said.?Oh, please, go on.You've quit anyway, she said.They stepped inside.A few customers were drinking wine or cof fee.The proprietress handed James the little cigars in their standard blondish tin.A block down the street, James felt his coat pocket.His wallet was not there.He remembered putting it there, or was it the tin he put there?Could he have missed his overcoat's breast pocket?Or perhaps he left his wallet at the counter?He raced back to the tabac passing the one customer who had entered just behind them.Carolina searched along the sidewalk back to the tabac.The proprietress lifted her hands in innocence when James asked about the wallet.He thought he could read guilt on her face.Then he remembered the customer and hurried out the door.The figure had disappeared around a corner.The chinoise, he thought, she had, now that he thought of it, seemed reluctant to pass them on the sidewalk as if she were threatened.Either the proprietress or the chinoise, but what to do? ?What can we do?Carolina was nearly frantic.?There is nothing, James replied.If they have it then they have it.

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)0.003
metaresearch head score (Gemma)0.012
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 score0.156
Threshold uncertainty score0.521

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0120.007
Scholarly communication0.0140.011
Open science0.0010.010
Research integrity0.0030.009
Insufficient payload (model declined to judge)0.1560.045

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 head0.058
GPT teacher head0.283
Teacher spread0.225 · 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".

Quick stats

Citations0
Published2003
Admission routes1
Has abstractyes

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Same venueIowa Research Online (The University of Iowa)Same topicAmerican and British Literature AnalysisFrench-language works237,207