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Record W4237098895 · doi:10.1017/9780511782480.033

XXVII

2019· other· en· W4237098895 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsInstinctQuarter (Canadian coin)ArtArt historyHistorySociologyArchaeology

Abstract

fetched live from OpenAlex

“YOU won't speak to me in my own house — that I have almost grown used to; but if you are going to pass me over in public I think you might give me warning first.” This was only her archness, and he knew what to make of that now; she was dressed in yellow and looked very plump and gay. He wondered at the unerring instinct by which she had discovered his exposed quarter. The outer room was completely empty; she had come in at the further door and found the field free for her operations. He offered to find her a place where she could see and hear Miss Tarrant, to get her a chair to stand on, even, if she wished to look over the heads of the gentlemen in the doorway; a proposal which she greeted with the inquiry — “Do you suppose I came here for the sake of that chatterbox? haven't I told you what I think of her?” “Well, you certainly did not come here for my sake,” said Ransom, anticipating this insinuation; “for you couldn't possibly have known I was coming.” “I guessed it — a presentiment told me!” Mrs. Luna declared; and she looked up at him with searching, accusing eyes. “I know what you have come for,” she cried in a moment. “You never mentioned to me that you knew Mrs. Burrage!” “I don't — I never had heard of her till she asked me.” “Then why in the world did she ask you?” Ransom had spoken a trifle rashly; it came over him, quickly, that there were reasons why he had better not have said that. But almost as quickly he covered up his mistake. “I suppose your sister was so good as to ask for a card for me.” “My sister? My grandmother! I know how Olive loves you. Mr. Ransom, you are very deep.” She had drawn him well into the room, out of earshot of the group in the doorway, and he felt that if she should be able to compass her wish she would organise a little entertainment for herself, in the outer drawing-room, in opposition to Miss Tarrant's address. “Please come and sit down here a moment; we shall be quite undisturbed.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.495
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.5050.369

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 head0.044
GPT teacher head0.421
Teacher spread0.378 · 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.

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
Published2019
Admission routes1
Has abstractyes

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