Espresso Cup / In front of the Bell Center / Chi non viene / Lettre d'amour
Bibliographic record
Abstract
Are you sure about this?"She stood at the sink, her back to him.She was looking outside at the children playing in the back yard.They had piled the leaves up high and were taking turns jumping onto the heap.She turned around to look at him."Yes."His lips had barely moved to pronounce the syllable.He sat there motionless, staring at the espresso cup in front of him.She could hear the children's laughter through the closed windows.It would be hard to see the children afterwards, she thought."There must be something that can be done," she said.He was silent."Maybe you should think about it some more?"He did not answer.She waited patiently.There was a long pause.He didn't take his eyes off the empty espresso cup.She'd been serving him espresso in that cup for nearly thirteen years."No," he said.She could barely tell it had come from him.It was a dry, hollow sound.She stared at him, hoping that he would look up.His full head of black hair was beginning to grey and it was thinning out at the back.He had been depressed all summer, but she had hoped he would have come out of it.He always had."There are four kids out there."She forced a smile, but she knew he wouldn't look up.He didn't say anything.She put her palms on the edge of the counter and leaned slightly against the sink, facing him."She's the mother of your children," she said cautiously."Couldn't you make it work?"It came out as a whisper.She knew she was approaching the dangerous zone."Are you listening?"It was the whiny voice he hated.She couldn't help it.die "Well?"She cleared her throat."Have you spoken to her?" NO.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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 teacher head, 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".