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Record W2769851067

Review of Jonathan R Wynn’s 2011 The Tour guide. Walking and talking New York

2015· article· en· W2769851067 on OpenAlexaboutno aff
Matilde Córdoba Azcárate

Bibliographic record

VenueTransfers · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Maritime and Colonial Histories
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryAgency (philosophy)IndigenousHumanityMetisPortugueseAnthropologySociologySocial sciencePolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

BOOK REVIEWS Indigenous Agency and European Science: Exploring the Emergence of “Race” Across Seas and Centuries Bronwen Douglas, Science, Voyages, and Encounters in Oceania, 1511– 1850 (Basingstoke, U.K.: Palgrave, 2014), 384 pp., 41 illustrations, £70 In Science, Voyages, and Encounters in Oceania, 1511–1850, Bronwen Doug- las brings together twenty years of research in an ambitious, stimulating, and engaging history. Th e book highlights the simultaneous and competing infl u- ences of indigenous agency, experiences in the fi eld, and metropolitan theories about human diversity on the representations of Oceanic peoples produced by European voyagers. It also traces how European understandings of humanity were constructed via the circulation of knowledge between imperial centers and peripheries and the accumulation of knowledge from one encounter or voyage to another. Th e gradual emergence of the “science of race,” Douglas reveals, was aff ected by the regular movement of people and the constant ex- change, accrual, and testing of their knowledge over space and time. Th is history is told chronologically and in two parts. Beginning in the six- teenth century with so-called Indians, Negroes, and Savages in Terra Aus- tralis, the fi rst part takes the reader through three stages—“Before Races,” “Towards Races,” and “Seeing Races”—from Portuguese, Spanish, and Dutch exploration to British and French scientifi c expeditions, concluding at th e turn of the nineteenth century. In Douglas’s own terms, this fi rst part consti- tutes a “lexico-semantic history and an ethnohistory of ‘not race’” (33). In the second part, the scope narrows as Douglas concentrates on a series of French maritime expeditions that, unlike their predecessors, involved only naval staff —no civilian naturalists. Th ey experienced Oceanic encounters and pro- duced textual and visual representations of humanity in a climate of “harden- ing racial values and imperial rivalry in the metropole” and amid an array of “confl icting imperatives”—personal, offi cial, and experiential (34). Despite its breadth, this history is thorough and scholarly. Douglas smoothly combines ethnohistory and the history of science, acknowledges the complexities of the historical record by considering, for example, the diff erences between textual and visual genres, and traces the shifting moods of her subjects by noting, for instance, the patterns and connotations of their language. Th e book’s vibrant cover image provides an engaging and appropriate entry to this complex history. Truly a “graphic narrative” (33), it depicts the meeting between a boatload of voyagers from the Astrolabe and several men Transfers 5(2), Summer 2015: 143–164 doi: 10.3167/TRANS.2015.050212 ISSN 2045-4813 (Print) ISSN 2045-4821 (Online)

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)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.137
Threshold uncertainty score0.459

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0020.001
Scholarly communication0.0040.005
Open science0.0020.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.1370.101

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 head0.044
GPT teacher head0.295
Teacher spread0.251 · 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
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
Published2015
Admission routes1
Has abstractyes

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