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Record W3174636319 · doi:10.26686/jnzs.ins32.6867

Dr. J. M. Bell, FRGS: A Canadian Auxiliary Geographer in New Zealand

2021· article· en· W3174636319 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of New Zealand studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Geography and Geographical Thought
Canadian institutionsnot available
Fundersnot available
KeywordsGeographerBiographyPublishingGeographySociologyHistoryArt historyLawEconomic geographyPolitical science

Abstract

fetched live from OpenAlex

Using Hodder’s notion of “biography as method,” this paper examines the geographical endeavours of James Mackintosh Bell, Director of the New Zealand Geological Survey from 1905 to 1911, in New Zealand and Canada. Canadian born, Harvard trained, Bell has a significant place in the history of geology in New Zealand and mining geology in Canada, yet much of his writing was explicitly geographical in orientation. This essay analyses this body of work and its significance and limitations in adding to and disseminating knowledge of the geography of NZ, particularly. Bell credentialed himself geographically as a Fellow of the Royal Geographical Society (FRGS). The FRGS were important builders of geographical knowledge in NZ from the 1850s up to the establishment of university geography in the 1930s when formal geographical research commenced. Geologists were a numerically significant group amongst the NZ FRGS, distinctive in that they held university qualifications, and Bell was particularly wide ranging in his geographical interests.

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)0.006
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 score0.049
Threshold uncertainty score0.231

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0140.006
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0230.003

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 head0.037
GPT teacher head0.321
Teacher spread0.284 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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