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Record W3041277262 · doi:10.1080/2373566x.2020.1760725

Illness and Sense of Place in Rural Iceland:<i>The Stones Speak</i>by Þórbergur Þórðarson

2020· article· en· W3041277262 on OpenAlexaff
Kaelan Brooke, Allison Williams

Bibliographic record

VenueGeoHumanities · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsMcMaster University
Fundersnot available
KeywordsWildernessSense of placeArsonContext (archaeology)GeographyRural areaPlace attachmentSociologyEnvironmental ethicsArchaeologyEconomic geographyPolitical scienceEcologyPsychologySocial psychology

Abstract

fetched live from OpenAlex

This paper intersects two areas of human geography research: therapeutic landscapes and literary geography. Using Þórbergur Þórðarson’s The Stones Speak (2012) as a case study, the paper explores the mixing of the rural environment and the wilderness in a farming community in Iceland at the turn of the twentieth century, as well as the health-related properties of this space. The built environment can function as a site of physical and social health, while the wilderness provides emotional healing and normalcy for the physically sick. Though elements can be recognized separately, this paper highlights how local people experience both wilderness and rural elements as one landscape, as well as how human activity shapes the landscape and its inhabitants’s sense of place. Literary geography limits the study to a single cultural context, thus more study is needed to articulate the intersection of rural and wilderness space.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.125

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 studies0.0050.010
Scholarly communication0.0040.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.269
Teacher spread0.250 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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