MétaCan
Menu
Back to cohort

The Sustainability of Geological Mapmaking: The Case of the Geological Survey of Great Britain

2007· article· en· W2008556189 on OpenAlexaboutno aff
Simon Knell

Bibliographic record

VenueEarth Sciences History · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Natural History
Canadian institutionsnot available
Fundersnot available
KeywordsGeological surveyGovernment (linguistics)PoliticsQuarter (Canadian coin)Relevance (law)Public institutionPublic opinionSustainabilityHistoryGeographyPolitical scienceCartographyArchaeologyLawGeologyGeophysics

Abstract

fetched live from OpenAlex

Henry De la Beche's leadership of the Geological Survey of Great Britain in the second quarter of the nineteenth century led to the establishment of a number of key institutions which ensured the Survey of survival beyond the initial phase of geological mapmaking. Considered as a finite activity serving only to fix on paper the spatial distribution of an unchanging physical resource, geological mapmaking alone was never a secure basis for institutional or disciplinary development. The actions taken by De la Beche in the 1830s and 1840s, at a time when public and politicians alike were suspicious of government-funded science, were echoed 150 years later by successors who served governments with similar doubts about non-commercial scientific activity. Whether buried within an empire of public institutions, illuminated in museum collections which spoke of utilitarian value, or conceptualised as an income-generating database of rare data, the continuation of geological mapmaking in Britain relied upon a relationship to, and relevance for, a wider world of politics and practice. Seen in the long view, the British Geological Survey demonstrates that a nation can only make and re-make geological maps if that activity can be submerged within, or repackaged as, a new strategically-valued socio-economic initiative.

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.706
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.029
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.064
GPT teacher head0.262
Teacher spread0.198 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations6
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueEarth Sciences HistorySame topicHistory of Science and Natural HistoryFrench-language works237,207