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Record W4311521834 · doi:10.18432/ari29678

Tracing Paths of Love through Poetic Inquiry

2022· article· en· W4311521834 on OpenAlexaffvenue
Maya T. Borhani

Bibliographic record

VenueArt/Research International A Transdisciplinary Journal · 2022
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience, Education and Cognitive Function
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsWonderPoetryHonorLiteraturePoliticsAestheticsArtSociologyPsychologySocial psychologyLaw

Abstract

fetched live from OpenAlex

In response to this call for poetic inquiries that speak the dynamism of an animate pluriverse, that honor what we hold sacred, and that might serve as medicine during these cataclysmic times, these poems-as-research offer a meditation on the power of love in myriad forms, to teach, inspire and sustain us. Weaving mythopoetic thought and imagery amongst everyday events and mundane realities, love surfaces as core currency. Evoking the wonder of children, and the love and care of teachers, mentors, and friends, these poems sing love in the world, and love of the world—the animated natural world, and the written wor(d)ld as expressive animation of what we love. Specifically, this poetic inquiry traces three synchronous veins of love in my life as they weave through my writing-as-research: love for my daughters (and the intractable wonder of childhood); love for a beloved teacher and mentor, American poet Robert Bly; and love as secular-spiritual awakening, the beating heart of social justice and personal/political activism. Tracings of love in our lives, etched and echoed through poetry as inquiry.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.012
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0090.046
Scholarly communication0.0120.013
Open science0.0010.009
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0040.001

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 head0.180
GPT teacher head0.426
Teacher spread0.245 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2022
Admission routes2
Has abstractyes

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