The Zabbaleen in Film - Garbage Dreams (Egypt) 2009. 79 minutes. In Arabic and English with subtitles as needed. Director: Mai Iskander. Distributor: The Cinema Guild, 115 West 30<sup>th</sup> Street, Suite 800, New York NY 10001 (800 723–5522 toll free; 212 685–6242; fax: 212 285–4717; info@cinemaguild.com;www.cinemaguild.com). - Marina of the Zabbaleen (Egypt) 2008. 70 minutes. In Arabic w/English subtitles. Director: Engi Wassef. Distributor: Torch Films, 250 Homer St., Olean NY (212 292–3126; ecommerce@torchfilms.com; www.torchfiIms.com).
Bibliographic record
Abstract
The Zabbaleen in Film - Garbage Dreams (Egypt) 2009. 79 minutes. In Arabic and English with subtitles as needed. Director: Mai Iskander. Distributor: The Cinema Guild, 115 West 30th Street, Suite 800, New York NY 10001 (800 723–5522 toll free; 212 685–6242; fax: 212 285–4717; info@cinemaguild.com;www.cinemaguild.com). - Marina of the Zabbaleen (Egypt) 2008. 70 minutes. In Arabic w/English subtitles. Director: Engi Wassef. Distributor: Torch Films, 250 Homer St., Olean NY (212 292–3126; ecommerce@torchfilms.com; www.torchfiIms.com). - Volume 46 Issue 1
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.841 | 0.652 |
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".