Bibliographic record
Abstract
Our airport was always under construction. They tore down a wing that they didn’t need anymore and were building another section, so for years we’d put up with mazes of plywood walls. The United corridor was about a year old and they chose some nice art. The ceilings were so high that they hung art floating in the air, reflecting colored shapes from the light of the windows. By the security checkpoint where we waited they had a flock of paper airplanes, each a little different, suspended and hanging, barely disturbed by the highest breezes of everyone’s comings and goings. I looked up at one airplane, painted pretty blue and sleek, sharp at the ends, like it would really fly. My daughter always hugged me first. But this time she looked at me, and hugged Arnold. The whole time, she looked at me that way she did, her little wire glasses low on her nose. She looked right over the top of them. No one under 65 should look over the top of her glasses at you. I used to find it rude, unnerving. She thought it made her far away but imposing, and it did make it hard to look at her. I hoped she wasn’t noticing the three new tiny red veins at the tip of my nose. She didn’t even hug me. “Mom!” she said. “What happened?” “Do you like it?” I said, trying to smile and show it off, but she made me so nervous. “I can’t believe you...you look like someone else.” “Welcome home, honey.” I turned to show her my profile. “It’s different, huh?” “Mom!” She said the word like an insult. “No. Yes. It’s bizarre. You got a fucking nose job? What happened to ‘You have to love that nose; it’s our family jewels’? Whatever happened to ‘Don’t give in to magazine beauty, it’s created to make women feel bad and buy things.’” She even got my flat-Chicago vowels right. “There comes a point when you can’t listen to anyone’s dogma,” I told her. “Bullshit!” she said. A small child dragging a large backpack stared, and his mother pulled him away. “Honey if I had done it twenty years ago, it would have been for the wrong reasons. You know how I’ve always hated my nose, so why not change what I can?” “But Mom it’s your nose. You were born with it. Should I believe anything
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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.016 |
| Scholarly communication | 0.014 | 0.011 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.005 | 0.013 |
| Insufficient payload (model declined to judge) | 0.054 | 0.018 |
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".