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Record W7002228153

The natural history review (1854-1865)

2012· article· en· W7002228153 on OpenAlexaff

Bibliographic record

VenueArrow@dit (Dublin Institute of Technology) · 2012
Typearticle
Languageen
FieldChemistry
TopicMolecular Sensors and Ion Detection
Canadian institutionsTrinity College
FundersImperial College LondonUniversity of Cambridge
KeywordsNatural historyExtant taxonWrightNatural (archaeology)Charles darwinIdeology
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACT: The natural history review was a quarterly founded in 1854 by Edward Perceval Wright,\nthen an undergraduate student of zoology at Trinity College Dublin. Its first editorial committee (1856?\n1860) held traditional views of natural history. By 1860 The natural history review had failed, ostensibly\nfor lack of subscribers, and Wright put it in the hands of Thomas Henry Huxley who, together with Joseph\nHooker, John Tyndall and others, was then looking for a vehicle to disseminate the agenda of what\nHuxley later called ?scientific naturalism?. Against advice from his friends, Darwin, Lyell and Hooker,\nHuxley accepted the editorship, preserving the title but giving The natural history review a new direction\nby replacing the former editorial team with some of his like-minded colleagues. Extant correspondence\nbetween several of these comprises dozens of letters in which The natural history review (1861?1865)\nwas discussed. By the end of 1862 Huxley had given up on it, but the periodical survived until\nJuly 1865 with Hooker at the head. Throughout this second series, Charles Darwin exercised an\nunofficial, effective, and to today?s eyes, ethically questionable editorial role. The natural history review\nceased publication under Hooker in 1865. Competition from other publications, the lack of a clear\npurpose and the prevalence of ideology over business sense in the editor-in-chief were the likely reasons\nfor its repeated failures.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.622
Threshold uncertainty score0.661

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.232
Teacher spread0.218 · 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.

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
Published2012
Admission routes1
Has abstractyes

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