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Record W1966664322 · doi:10.1080/13555502.2012.735449

Samuel Butler's Sheep

2012· article· en· W1966664322 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Victorian Culture · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature: history, themes, analysis
Canadian institutionsnot available
FundersAGE-WELL
KeywordsHistory

Abstract

fetched live from OpenAlex

By 1840, it was clear that the industries that had first brought Europeans to New Zealand, particularly sealing and shore whaling, were faltering. In their place settlers were turning to a new primary export, wool: the commodity upon which Britain's industrial revolution and economic hegemony were based at the time. As James Belich writes, the 'powered mills and factory-production techniques' of Britain were 'clothing and blanketing a good part of the world', and as the empire expanded so did its pastures: to the Indian Subcontinent, South Africa, Australia and eventually New Zealand. During the 1830s and 1840s, Australian merinos were brought across the Tasman in large numbers, but breeding within New Zealand soon took over. There were over a million sheep in the country by 1860, 13 million by 1880, 20 million by the end of the century. 1 During the 1850s and 1860s, the ready availability of 'free land, free grass and a large local market could mean staggering profits for those first in. ''Sheep farming'', observed the Otago Witness in the 1850s, '''presents visions of quite dazzling wealth'''. 2 Among the British immigrants who took advantage of this boom was the young Samuel Butler. During his four years on a Canterbury sheep run from 1860 to 1864, Butler 'doubled his 4000 capital [. . .], which helped make up for the paltry 69 3s 10d he received in royalties from his famous book Erewhon'. 3 Of course, Erewhon (1872) and Erewhon Revisted (1901) were themselves products of Butler's time in New Zealand. Like Butler's own emigration -which he describes first-hand in the autobiographical First Year in Canterbury Settlement (1863) -the emigration of George Higgs, the narrator of Erewhon, derives from the entrepreneurial promise of imperial pastoralism: 'when I left home it was with the intention of going to some new colony, and either finding, or even perhaps purchasing, waste crown land suitable for cattle or sheep farming, by which means I thought that I could better my fortunes more rapidly than in England'. 4 Reaching an unnamed settlement on the other side of the globe, Higgs describes the prospect he encounters as Nature's own invitation to the pastoralist: 'millions on millions of acres of the most beautifully grassed country in the world, and of the best suited for all 1.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: none
Teacher disagreement score0.856
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.222
Teacher spread0.203 · 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