Bibliographic record
Abstract
The Apartment of Tragic Appliances, named as a finalist for a 2013 Lambda Literary Award, is a literal place in which a hapless, portable dishwasher “heats residue only to reimagine cleanliness as an art project,” a recalcitrant microwave neglects to heat, and a refrigerator dies an inconvenient, bulky death. It is also that psychic space in which we consider our loneliness, our wandering hearts, our unpacked boxes, our vulgar desires. In Queer Optimism: Lyric Personhood and Other Felicitous Persuasions (Minnesota, 2007), Michael Snediker worked “in the interests of felicity” to undermine the ways in which queer theory customarily privileges shame and melancholy. Here, in his first full-length collection of poetry, he undertakes a similar upending of expectation, acknowledging “gay sadness” but refusing to fall fully under its sway. The demi-tragedies of daily life are recounted by a voice that is variously wistful, giddy, bawdy, silly, and tart. Along the way, Michael Snediker sets off an impressive pyrotechnic display of literary allusion, drawing on the superstars of the Western canon (think: Virgil, Racine, Proust, James, Wharton, Tennessee Williams) and of popular culture (Lucille Ball, John Travolta, Alex Trebek). Buyer beware: In these pages you will not find advice on how to feng shui your duplex or tame a Cuisinart run amok. Instead, you will find something far rarer: a book of poetic sustenance. As Daniel Tiffany observes, “We have been missing poems like these for a long time.”
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.007 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.023 | 0.005 |
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".