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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 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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score0.870

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0190.014
Scholarly communication0.0040.002
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Explore more

Same venueTransactions of the Institute of British GeographersSame topicJapanese History and CultureFrench-language works237,207