Chill Greta, Chill, and: Reflexology, and: In Response to My Students Who Still Don't Understand Irony, and: Ode to Sadness
Bibliographic record
Abstract
Chill Greta, Chill, and: Reflexology, and: In Response to My Students Who Still Don't Understand Irony, and: Ode to Sadness Candice Kelsey (bio) Chill Greta, Chill Upon Greta Thunberg being named Time Magazine's 2019 Person of the Year, Donald Trump tweeted: "[…] go to a good old fashioned movie with a friend! Chill Greta, Chill!" At ten years old Tilly Smith playedon the beach in Phuket, Thailand, in late December of 2004. Her feetankle deep enjoying a family holiday in the Andaman Sea warmth. Whenshe saw the froth like on a mug of beer, as Mr. Kearney, her geography teacher,had described. She warned her family definitely a tsunami coming! Likeher mum, we keep walking. But her dad apparently ran to higher ground,telling security to clear the beach of families like Tilly's. Why aren't welike her dad, I wonder. Soon we will be like the 270,000 dead across SoutheastAsia unless we listen to the children— voicing wisdom, like Greta Thunberg,who refuses to just chill or watch movies. [End Page 166] Reflexology The cardinalsperched beyond my windowtaunt me like the womanwho massaged my bodylast night answeringmy questions—howoften should I see you? not missing a beatresponding—every day as if I too couldplume carminebeneath the sun's fingers [End Page 167] In Response to My Students Who Still Don't Understand Irony and for Germanwings Flight 9525 Take the German schoolgirlwho almost missed her flight home from Spain.Because of a forgotten passport,she was almost stuck at El-Pratto consume an iced mocha alone— But she made the flight, soonascending toward Haltern all buckledand ear-budded with her Freundinnenand the Spanish ether. Buoyed with reliefshe made it forty minutes in when the sudden descentsent orange juice, hips, and handsgripping over Le Vernet. Therewas silence from the co-captainon one side of the cockpit door; frantic pounding by the captain on the other sidewith a fire axe. This fate blazonedher name misspelled across the news,over the rocks of Le Vernet,and into stone plaques like tombstones or smeared blood over a poet's doorframeheart. Questions spilled like orphaned shirtsfrom torn luggage across the mountainsidethat took the German schoolgirl—who almost missed her flight home from Spain. [End Page 168] Ode to Sadness Unzip me from the inside,Sadness,and let the rats pour themselvestail first and tumblingto the jagged beat of my heart—that dust bowl ceiling ventruining every roomfrom LA to Augusta— struggle to breathe warmthhope for a twelve-hour reprievefrom heavy workof carrying a life crowded insidebetween a dying dog and an angry cata life I pray to get us through the roughlicking of a sandpaper childhoodburning the eaves of memoryin my hospice soullike the anthracite coalmy father worshipped, an amuletfrom his Southeastern Pennsylvania wombzipped tightly in his shriveling mind,his quadruple-bypass Frankenstein heartand I cannot begin to stumble awayfrom the loneliness of that four-year-old boywhose father died: a zipping up of the future now,cold metal teeth clasping like fingers around the wheelof a woody '78 station wagonforty years later and sixteen years into fatheringfour times as long as his own fatherhad with himan immigrant with so little time to find skin on skin the touch we needwe all need the intentionof our people in the only sphere we know [End Page 169] a hungry maze of tunnels insidewe call our needto be in the spirit of touchour sub-metallic lusterif not literallythen by words—gifts of the tonguewet with life and healing—or by seeing we exist in spacewith a birthright as bold as timeand time again it is timeto gather the rats, corral the verminthey call depression into the tiny marked cages of my bodythis shiny black bagof generationsI see you zipping up tightuntil the next...
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.164 | 0.088 |
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".