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Record W2736576117 · doi:10.24043/isj.353

Mapping the Outer Hebrides in sound: towards a sonic methodology

2016· article· en· W2736576117 on OpenAlexaffvenue
Cathy Lane

Bibliographic record

VenueIsland Studies Journal · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies of British Isles
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsSound (geography)New HebridesActive listeningSettlement (finance)Identity (music)Feature (linguistics)GeographyHistoryMnemonicArchaeologyLinguisticsGeologySociologyCommunicationOceanographyComputer scienceArt

Abstract

fetched live from OpenAlex

Scottish Gaelic is still widely spoken in the Outer Hebrides, remote islands off the West Coast of Scotland, and the islands have a rich and distinctive cultural identity, as well as a complex history of settlement and migrations. Almost every geographical feature on the islands has a name which reflects this history and culture. This paper discusses research which uses sound and listening to investigate the relationship of the islands’ inhabitants, young and old, to placenames and the resonant histories which are enshrined in them and reveals them, in their spoken form, as dynamic mnemonics for complex webs of memories. I speculate on why this ‘place-speech’ might have arisen from specific aspects of Hebridean history and culture and how sound can offer a new way of understanding the relationship between people and island toponymies.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.592
Threshold uncertainty score0.750

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.260
GPT teacher head0.321
Teacher spread0.061 · 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 teacher head, 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

Citations0
Published2016
Admission routes2
Has abstractyes

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