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Record W4323648216 · doi:10.1386/dmas_00039_1

Motherlines, thin places and somatic orientations: An embodied inquiry

2022· article· en· W4323648216 on OpenAlexaff
Lena Rebecca Richardson

Bibliographic record

VenueDance Movement & Spiritualities · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsEmbodied cognitionAutoethnographyIrishSociologyAestheticsEpistemologyGender studiesArtLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

In this article, I explore the role of ancestrally connected sites as places of somatic orientation and potentially as sites of embodied memory. Inspired by seeking connection with my Irish great-great-great grandmother, Jane O’Brian and her lineage, I travelled to Ireland as a North American woman, undertaking a circling journey to a land of my Motherlines. In this article, I explore touchstone moments on the land in Ireland, including my serendipitous stumble to the Hill of Tara in County Meath, Ireland. The article explores, in particular, the communication between my own body and particular places on earth, undergirded by other literature that explores human-land-based connection. I draw on the methodologies of embodied inquiry and autoethnography. Echoing and contrasting with the journeys of other writer–researchers who have engaged in their own ancestral journeys, I ask questions about land-based connections, and how these connections are challenged and remembered in the process of migration and uprooting. Acknowledging the possibility of nostalgic projection by diasporic returnees I touch on the potential pitfalls of such an exploration while weaving an autoethnographic and embodied inquiry which explores land-based connections as dynamic, multi-layered and a potential site of somatic re-orientation.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.472
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.052
GPT teacher head0.351
Teacher spread0.299 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

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