Bibliographic record
Abstract
photos : http :// booksatcafe . com / newsite Outpost 80 WLT NOVEMBER / DECEMBER 2015 Books@Café by Courtney Gilman T hat I’m sipping an ice-cold mint lemonade and peering out over a sun-scorched view of Amman during Ramadan is one of Books@Café’s uncommon features . The bookstore and café are among only a handful of places open during the daylight hours in the holy month of fasting. “We’ve been nonconformists from day one,” explains Madian Al Jazerah on why he and his brother, co-owners of the café bookstore, choose not to close every year. When the doors opened in 1997, Books@Café was the first Internet café in the Middle East, which made it unique from the outset. On the first floor, the collection of books in both Arabic and English is expansive, ranging from Western classics to modern-day Arab poets and avant-garde art. Upstairs, there’s a spacious café that extends outside and serves traditional and international dishes, hookah, and even beer and wine. “Our family was twice removed and refuged,” states Al Jazerah about his Palestinian -Jordanian heritage. “Growing up in Kuwait, we didn’t feel a difference between Christianity and Islam. Our family was accepting of everyone.” This openness and a combination of other influences such as world travel, residence in the US, and, coincidentally, a tertiary education at Oklahoma State University has helped make Books@Café what it is today. Originally sparked by an in-flight ad for the Amsterdam-based American Book Center, Books@Café is known as a place of refuge itself, hiring employees of all nationalities, races, religions, and backgrounds and creating a sense of community for all, whether a passing tourist, an eager Arabic-language student, or an Amman local. Though the Amman location was the first, there is now a location in Abdoun, Jordan, and locations are coming soon in Dabouq, Toronto, and Chicago. Courtney Gilman is a writer, artist, and lover of language and culture. She holds a master’s degree in social work from the University of Oklahoma. Follow her travel blog at courtingtheglobe@blogspot.com. ...
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.914 | 0.841 |
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".