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Record W2272768544

Abstract: The granitoid units of Cape Breton Island, Nova Scotia: a catalogue of background information to aid assessment of their potential as building and/or dimension stones

2002· article· en· W2272768544 on OpenAlexaffabout
Karen Johnston, Sandra M. Barr, P. W. Finck, Garth Prime

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsAcadia University
Fundersnot available
KeywordsCapePluckingGeologyArchaeologyNova scotiaGeographyGeomorphology
DOInot available

Abstract

fetched live from OpenAlex

Canada has great potential for all types of stone resources (e.g., granite, sandstone, marble, and slate). However, granite has exclusively become Canada’s most internationally sought after building and dimension stone because of its beauty and durability. The quarrying and fabrication of Nova Scotian granite dates back to the mid-1700s. Since then, over 75 quarries have periodically produced stone, mostly granite, over the past 150 years. Granitoid rocks of many varieties and ages are abundant in Cape Breton Island. This abundance, as well as the strategic location of Cape Breton Island for shipping, should encourage future production. In order to provide background information for the assessment of the potential of granitoid rocks in Cape Breton Island for use as building and/or dimension stone, a compilation has been undertaken, using as its base the extensive collection at Acadia University of granitoid samples representing essentially all granitoid units in Cape Breton Island. The purpose of the study is to document useful information about the granitoid units across Cape Breton Island in a readily accessible format. Such an inventory will perhaps assist future users in investigating the suitability of these rocks for building stone/dimension stone purposes. Background information on the past and present use of Cape Breton Island granite reveals that certain characteristics make them potentially useful for building/dimension stone purposes. Attractive colour, grain texture and pattern, and surface fi nish of the stone are normal requirements. Before quarrying, granite is also commonly tested for specifi c weight, absorption, compressive strength, transverse strength, and resistance to abrasion. These characteristics help determine the durability of the granite and its capacity to resist weathering agents and human impact. This study is being done as a Special Project course at Acadia University. It will include a short written report on the usage of Cape Breton granite as building and /or decorative stone and an investigation through a literature/website survey to obtain the characteristics of granite that make them potentially useful for this purpose. Secondly, an appropriate catalogue format is being designed to effectively organize and present the relevant information, such as location, accessibility, size, and appearance of the rock. The fi nal product will be a Cape Breton granite catalogue in both paper and electronic versions. The inventory will include a colour digital image of a representative sample from each unit.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.125
Threshold uncertainty score0.251

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0090.012
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0240.007

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 head0.022
GPT teacher head0.227
Teacher spread0.205 · 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 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

Citations0
Published2002
Admission routes2
Has abstractyes

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