Bibliographic record
Abstract
I have been away from Pakistan for almost 20 years now and only have been able to go back four times. I have daydreamed of reuniting with my mother since I stepped into the airport to leave her behind. I experience the constant longing to return to my mother, to home, when I am watching a sunset; from the sudden whiff of jasmine flowers on the footpath, from the smell of ittar I wear; while making biryani from shaan spices packed in Pakistan; on Eids, on birthdays, on my leaving home anniversary date and month; on labels on towels reading made in Pakistan in our local supermarket shelves and in the pages of Urdu novels and poetry; from the lyrics of songs; from twirling between my fingers the locket my mother gave me to ward off evil; when I raise my hands to pray at the end of the fajr prayer; when I get sick and want my mother to nurse me back to health – when living. I have a powerful unshakeable spiritual bond with my mother. The dream I share in this piece, as interpreted by my mother, is a desire to return home and the testimony of my love for her.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".