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Indigenous London

2016· book· en· W4234326335 on OpenAlexaboutno aff
Coll Thrush, Kate Shanley

Bibliographic record

VenueYale University Press eBooks · 2016
Typebook
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousDiversity (politics)EmpireHistoryEthnologyMedia studiesAncient historyAnthropologySociology

Abstract

fetched live from OpenAlex

This book provides an imaginative retelling of London's history, framed through the experiences of Indigenous travelers who came to the city over the course of more than five centuries. London is famed both as the ancient center of a former empire and as a modern metropolis of bewildering complexity and diversity. This book offers an imaginative vision of the city's past crafted from an almost entirely new perspective: that of Indigenous children, women, and men who traveled there, willingly or otherwise, from territories that became Canada, New Zealand, Australia, and the United States, beginning in the sixteenth century. They included captives and diplomats, missionaries and shamans, poets and performers. Some, like the Powhatan noblewoman Pocahontas, are familiar; others, like an Odawa boy held as a prisoner of war, have almost been lost to history. In drawing together their stories and their diverse experiences with a changing urban culture, the book also illustrates how London learned to be a global, imperial city and how Indigenous people were central to that process.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.390
Threshold uncertainty score0.870

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.3900.171

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 head0.029
GPT teacher head0.231
Teacher spread0.202 · 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.

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

Citations111
Published2016
Admission routes1
Has abstractyes

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