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Record W2544719149 · doi:10.1057/9780230596955_5

Shoot the Women First

2001· article· en· W2544719149 on OpenAlexaff
Patrick Grant

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsThroneArtClothingAncient historyMorningCeiling (cloud)BrotherSnowCartographyArchaeologyGeographyHistoryMeteorologyLawMedicine

Abstract

fetched live from OpenAlex

Here is a poem by Medbh McGuckian: Apostle of Violence 1 There is an extra gathering of snow over the prisoner on the Roman triumphal arch: his arms are bare, his legs crossed, his lips wind-packed with snow, not twisted in pain, his sixteenth-century eyes are used all the more breaking their snow-lids to the outer morning. Windows higher on the outside than on the inside lead his eyes upwards to tabernacle corners, blind-windows belonging in the ceiling’s world. A blend of morning’s freshest hours blows through his wind-clothes till his right hand seems a brother by his side. The rivers that are the companions of the times of the day reply with the gift of a day in his life in the person of night, a day too heavy for one angel, like an empty throne, at the stair-foot door, open the length of the ice-veiled garden.

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)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.134
Threshold uncertainty score0.450

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0180.005
Scholarly communication0.0060.005
Open science0.0010.006
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.1340.038

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 head0.019
GPT teacher head0.280
Teacher spread0.261 · 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
GenreEmpirical

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
Published2001
Admission routes1
Has abstractyes

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