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Record W2586289997 · doi:10.1111/tran.12176

On the colonial frontier: gender, exploration and plant‐hunting on Mount Victoria in early 20th‐century Burma

2017· article· en· W2586289997 on OpenAlexaboutno aff
Nuala C. Johnson

Bibliographic record

VenueTransactions of the Institute of British Geographers · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismFrontierGlobeMountHonourQuarter (Canadian coin)HistoryEthnologyArchaeologySociology

Abstract

fetched live from OpenAlex

In April 1922 Charlotte Wheeler‐Cuffe was elected a Fellow of the Royal Geographical Society. This honour was in recognition of her contribution to plant hunting and exploration, botanical illustration and anthropological knowledge accumulated about Burma during the quarter of a century (1897–1922) she spent there with her husband as part of the colonial service. While historical geographers have acknowledged that the colonies, in particular, often afforded women the space for practising science, the work of female naturalists in the field has received limited detailed scholarly attention. For Charlotte Wheeler‐Cuffe, her plant‐hunting expeditions across Burma allow us to extend the epistemic reach of a spatial perspective developed by geographers and to demonstrate how the web of connections she developed in the colonies enabled her to circulate scientific knowledge across the globe. By focusing on a major expedition to Mount Victoria undertaken by Wheeler‐Cuffe, this paper unravels the complexity of the practice of natural history within a global imperial framework through an examination of the private correspondence and pictorial archive maintained during her time in Burma.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.573
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.241
Teacher spread0.221 · 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.

Study designObservational
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

Citations17
Published2017
Admission routes1
Has abstractyes

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