Poetic Existential: A Lyrical Autoethnography of Self, Others, and World
Bibliographic record
Abstract
“Poetic Existential” is a collection of lyrical autoethnography. This body of work explores existential themes relating to globalization and the immigration/refugee humanitarian crisis, “freedom” as personal/political/geographical ideology, and my own experiences of being a situated self alongside others. Lyrical poetry coaxes a person to embody and present experience through restrained (Faulkner 52), yet evocative descriptions – without the neat folds and contextual blanketing common to many narrative approaches. The challenge of autoethnographic poetry is to perform a focused crystallization of experience via lyrical aesthetics (arrangement, word choice, rhythm, rhyme, phrase and line structure, etc.). In the accompanying artist statement, I theorize my poetic engagement with attention paid to what the lyric facilitates in my scholarly work. In this exploratory fusion of lyrical expression, autoethnography, and existentialism, I hope to summon the aesthetic powers of poetry in the service of self-reflexivity, and in relation to the plight of millions of disenfranchised others.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.021 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".