MétaCan
Menu
Back to cohort
Record W1563581924 · doi:10.7202/1062355ar

A Poetics of Simpson Pass: Natural History and Place-Making in Rocky Mountains Park

2019· article· en· W1563581924 on OpenAlexfundvenueaboutno aff
Sarah Wylie Krotz

Bibliographic record

VenueStudies in Canadian Literature · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicArchaeology and Natural History
Canadian institutionsnot available
FundersParks CanadaU.S. Department of the Interior
KeywordsWildernessDominionAlienColonialismSense of placeNational parkPoeticsGeographyNatural (archaeology)EthnologyNatural parkArchaeologyHistoryArtSociologyEcologyCensus

Abstract

fetched live from OpenAlex

This essay examines A Sprig of Mountain Heather, an early pamphlet designed by J.B. Harkin and Mabel Williams to promote Canada’s dominion parks. Familiar in some historical circles but less so in literary ones, the pamphlet provides a fascinating glimpse into the colonial practice of natural history and its role in shaping European relationships to wild spaces such as Simpson Pass, on the border of Rocky Mountains (now Banff) Park. Containing both an actual specimen – a pressed flower from an alpine meadow on the pass – and “a story of the heather” that connects it to Scottish lore and culture, A Sprig of Mountain Heather demonstrates how natural history made it possible for European settlers to imbue even a remote and alien space with the homely resonance of place – a key attribute of the national parks’ colonial and curatorial relationship to wilderness. Read in the light of a wider history of botanical inventory and description both in the mountain parks and elsewhere in Canada, A Sprig of Mountain Heather exemplifies the potency of the natural object as a locus of memory that could at once transport and transplant emigrants, allowing them to establish a deeper connection to lands that were remote both geographically and culturally.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.457
Threshold uncertainty score0.920

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.020
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.300
Teacher spread0.286 · 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
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

Citations1
Published2019
Admission routes3
Has abstractyes

Explore more

Same venueStudies in Canadian LiteratureSame topicArchaeology and Natural HistoryFrench-language works237,207