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Record W3045805730

Embodying Language in Wild Spaces: Place, Memory and Transformation

2020· article· en· W3045805730 on OpenAlexaboutno aff
Nalini Paul

Bibliographic record

VenueRADAR (Glasgow School of Art) · 2020
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativePoetryTricksterWildnessAestheticsHistoryIndigenousMateriality (auditing)ContemplationSubjectivitySubject (documents)Visual artsSociologyLiteratureArtPhilosophyComputer scienceEpistemology
DOInot available

Abstract

fetched live from OpenAlex

A paper exploring the ways in which poetic narrative informs phenomenological experience through language, landscape, memory and belonging. My poetry aims to subvert existing hierarchies (of female/male, other/self, colonised/coloniser) with an emerging voice that accesses memories of a physical location other than the one currently occupied. For example, on a walk in Orkney (where I lived for a year as George Mackay Brown Writing Fellow), the narrator’s embodied experience is transformed from her current walk to memories of Canada. This realigns her subject position both temporally and spatially, giving voice to what was once unspoken. Memories infuse the physical details of experience by exploring questions of place and belonging through the naming of trees and rivers in British Columbia. Being immersed in and moving through the Scottish landscape – in the Highlands, Lowlands and Orkney – the ‘wildness’ of these spaces is evoked through the wind, light and sky. These constantly changing elements through which the poet walks act as a conduit for imagination, memory and transformation. The process of writing allows for transformation, which can be illustrated through use of the raven as ‘trickster’, with its ability to change form at will in Canadian indigenous (particularly Haida) stories. I will draw on the use of this ‘trickster’ figure in my poetry as a means of questioning one’s sense of self within these complex and ever-shifting relations. I will explore these and other details of the landscape – and the individual’s connection to them – through sensory perception and materiality. Colours, textures, smells, rain, hail, wind and sky (expanding with light, moving closer in darkness) create the ever-changing embodied experience of the individual, allowing poem and landscape to interact with and inform each other. The physical nature of the landscape (and potentially its ‘thingness’) gives life to the narrator, echoing the fragility and complexity of the individual and her natural environment. 
\nMy aim is to illustrate, through poetry, the ways in which language allows for transformation of the individual’s experience within a landscape, often subverting existing power structures in unexpected ways. 
\nThe above will draw from my experiences as a poet, including a year-long residency in Orkney as George Mackay Brown Writing Fellow and a recent three-day residency in Ullapool with Enough! Scotland, the latter looking at creative responses to the climate crisis. The presentation will also cite poems from my poetry collection, The Raven’s Song, illustrated and designed by artist CA Hiley and inspired by stories and myths of ravens and crows from Orkney, Shetland and Canada.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.181
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.013
GPT teacher head0.261
Teacher spread0.248 · 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.

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

Citations0
Published2020
Admission routes1
Has abstractyes

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