Bibliographic record
Abstract
On one of those sunny days shortly before winter sets in, I came to Anna Carmi's house in the Beit HaKerem quarter in Jerusalem. We sat on her terrace, then in the nursery, in the living room, in the garden and, finally, we settled down in her studio beneath the house. I came to interview Carmi. Over a decade ago, I was a student in her studio and we have stayed in touch. It did not take long to realize that both of us are concerned with combining home making with raising children while working as artists. I am experiencing a change that has occurred with the birth of my daughter, while Carmi is undergoing a period of expanding her house and her family. Our conversation began instinctively with my difficulty to continue creating ever since my daughter has come into my life. My determination to go on creating raised the basic and practical question as to the physical location where my crea tivity process should take place.
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 | 0.028 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.040 | 0.054 |
| Scholarly communication | 0.019 | 0.010 |
| Open science | 0.002 | 0.028 |
| Research integrity | 0.003 | 0.011 |
| Insufficient payload (model declined to judge) | 0.006 | 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".