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Record W295446734 · doi:10.1162/jinh.2008.38.4.595

<i>Poison Detection and the Victorian Imagination</i>. By Ian Burney (Manchester, Manchester University Press, 2006) 193 pp. $59.00

2008· article· en· W295446734 on OpenAlexaff
Angus McLaren

Bibliographic record

VenueThe Journal of Interdisciplinary History · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Influence and Diplomacy
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsIconCitationArt historyLibrary scienceDownloadMedia studiesHistorySociologyArtComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

April 01 2008 Poison Detection and the Victorian Imagination. By Ian Burney (Manchester, Manchester University Press, 2006) 193 pp. $59.00 Angus McLaren Angus McLaren Search for other works by this author on: This Site Google Scholar Author and Article Information Angus McLaren Online ISSN: 1530-9169 Print ISSN: 0022-1953 © 2008 Massachusetts Institute of Technology and The Journal of Interdisciplinary History, Inc.2008 The Journal of Interdisciplinary History (2008) 38 (4): 595–596. https://doi.org/10.1162/jinh.2008.38.4.595 Cite Icon Cite Permissions Share Icon Share Facebook Twitter LinkedIn MailTo Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Angus McLaren; Poison Detection and the Victorian Imagination. By Ian Burney (Manchester, Manchester University Press, 2006) 193 pp. $59.00. The Journal of Interdisciplinary History 2008; 38 (4): 595–596. doi: https://doi.org/10.1162/jinh.2008.38.4.595 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThe Journal of Interdisciplinary History Search Advanced Search This content is only available as a PDF. © 2008 Massachusetts Institute of Technology and The Journal of Interdisciplinary History, Inc.2008 Article PDF first page preview Close Modal You do not currently have access to this content.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.416
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.253
Teacher spread0.237 · 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 teacher head, not a consensus.

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
Published2008
Admission routes1
Has abstractyes

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