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Record W3212725321

Sustainable Family Farming and Yeoman Ideals 1860 to 2000 in North-West Tasmania

2021· book· en· W3212725321 on OpenAlexaboutno aff
Rena R. Henderson

Bibliographic record

VenueUTAS Research Repository · 2021
Typebook
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsAgricultureGeographyGenealogyAgroforestryArchaeologyHistoryBiology
DOInot available

Abstract

fetched live from OpenAlex

<p>Within the frame of family farming, this book offers a longitudinal study of the Castra district in North-West Tasmania from first European settlement to the end of the twentieth century. It draws upon historical sources for yeomanry characteristics from Britain, Canada, the USA, New Zealand and Australian mainland colonies to show how these characteristics were persistently supportive of family farming. </p><p>Surveying farming communities over several generations, this book explores a range of topics including colonial surveying practices, settler families’ motivation, attributes and demographics, the role of Methodism, the ways children were inculcated into yeoman farming enterprises, the role of women as companionate wives and the political participation of farmers in the public sphere. The book also offers a new perspective of three commonly held myths of settlement failure: the settlement of retired Anglo-Indian military and civil officers in the 1870s, the settlement of soldiers on small farms after the Great War and the claims that the ideal of yeoman family farming was anachronistic to capitalist commodity production. The book draws from a wide selection of previously underused primary source materials, including oral histories from current and past residents, to provide a comprehensive overview of an important aspect of rural Australian history. </p><p>The book is a valuable contribution to Australian historiography, and will be a useful resource for students and scholars of rural history, social history, environmental history, colonialism and sustainable agriculture.</p>

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)0.002
metaresearch head score (Gemma)0.000
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.645
Threshold uncertainty score0.673

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.030
GPT teacher head0.278
Teacher spread0.247 · 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
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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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