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Record W4239504865 · doi:10.32920/ryerson.14664237

Letters from my future self

2021· preprint· en· W4239504865 on OpenAlexaff
Ashleigh Larratt

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsQueen's University
Fundersnot available
KeywordsHumanityBeautyEmbodied cognitionDivinityAestheticsMerge (version control)MysticismSelfWishArtPsychologyEpistemologyPhilosophyLiteratureSocial psychologyComputer scienceLawPolitical science

Abstract

fetched live from OpenAlex

What does it mean to become the person you are meant to be? How can embodied wholeness be realized, no matter what happened, and become an exhilarating point of departure for creative practice, and ultimately, life. In Letters From my Future Self, my thirty-six minute experimental film, I try to answer this question with material from my own life. By making art out of my personal history, and the mystical vision of a Future Self, trauma becomes a portal for healing, and discovering the beauty of the present moment. In doing so, I offer my story as a template for others’ healing. I encourage viewers to embark on their own inward journeys of self-discovery. To enlighten that which they most wish to hide from and push away. To merge their divinity with their humanity, becoming their own Future Selves.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.280
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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0310.001

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 head0.016
GPT teacher head0.294
Teacher spread0.278 · 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; both teacher heads agree on what is shown here.

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
Published2021
Admission routes1
Has abstractyes

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