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Record W7058620478

Nature Speaking of Nature to Nature : Animistic Communication Between the Veil of Reality and Fantasy

2022· dissertation· en· W7058620478 on OpenAlexaboutno aff

Bibliographic record

VenueSkemman · 2022
Typedissertation
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsPerformative utteranceLiminalitySubconsciousMAGIC (telescope)GriffinFantasyNarrativeEvent (particle physics)Materiality (auditing)Natural (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

Through the lense of Animism, the belief that every thing has a spirit and thus possesses its own agency, I am examining my engagement with materials in a subconscious collaboration that is mutually transformative. My own art practice I intuitively collaborate with natural magic and the energies and entities that occur through intrinsic interactions with the nature of all things. Humans who participate in communication with nature are in
\ndialogue with nature within themselves and are thus part of nature. As radical feminist philosopher Susan Griffin says we are “Nature speaking of nature to nature”.
\nIn this thesis I talk about my past work in sculptural costume making, poeticized archetypes and creating Living Cartoons. How this discipline bridged through my moving to Iceland from Canada and how I am exploring new sculptural disciplines with similar
\nresults, surfacing Ambassadors from another realm.
\nAll these elements come together in my work, when engaged with, to create a vortex of healing and initiation of change. Instead of a performative events, as I made in the past, I am making eventful vessels: containers of energy. When the viewer engages
\nwith this object, or I with it during the creation process, the engagement becomes an event that activates the spirits who have collaborated in the making of it. In this event there is a
\ncommunication that opens the in-between, a liminal space, where the potential for transformation is possible and the line between fantasy and reality is dissolved.

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 categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.642
Threshold uncertainty score0.999

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 science0.0010.000
Research integrity0.0010.003
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 head0.007
GPT teacher head0.282
Teacher spread0.275 · 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 designObservational
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
Published2022
Admission routes1
Has abstractyes

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