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Record W4390761976 · doi:10.7202/1108196ar

Connecting Australian First Nations’ Histories with Settler Colonial Winegrape Cultivation

2023· article· en· W4390761976 on OpenAlexvenueaboutno aff
Julie McIntyre

Bibliographic record

VenueJournal of the Canadian Historical Association · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismIndigenousConsumption (sociology)SovereigntyFifteenthGeographyEconomyPolitical scienceHistoryEthnologyPolitical economySociologyArchaeologyAncient historyPoliticsEcologySocial scienceLawEconomics

Abstract

fetched live from OpenAlex

The global diffusion of winegrapes (Vitis vinifera) from western Europe to European colonies since the fifteenth century is often historicized as a benefit bestowed upon those colonial places rather than an invasion of ecologies where sovereign Indigenous peoples knowingly managed their land. British colonists in Australia associated wine production and consumption symbolically with imperial and colonial power, envisaging the material advantage of domestic and export profits and social appeasement within the emergent colonial order. Settler colonial winegrowing is thus a salient site for observing settler-Indigenous relations. This article expands upon my earlier collaborations with non-Indigenous scholars on the topic of settler-Indigenous relations in winegrowing and consumption to highlight First Nations’ experiences of colonization.

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)0.002
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.481
Threshold uncertainty score0.956

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0200.016
Scholarly communication0.0080.003
Open science0.0010.007
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.018
GPT teacher head0.203
Teacher spread0.185 · 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

Citations3
Published2023
Admission routes2
Has abstractyes

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