Bibliographic record
Abstract
AbstractPalestine Unbound strives to capture the tenor and content of popular conversations related to the Palestinians and the Arab-Israeli conflict held on dynamic platforms unbound by traditional media. Items selected here are from a variety of sources and have either gone viral or represent a significant cultural moment or trend. This quarter's news includes the rejection of a hasbara junket to Israel by six National Football League players, kicked off by a tweet from Seattle Seahawks defensive end Michael Bennett; a flurry of satirical Arabic Facebook posts titled “Before and After the PA” that cast a critical eye at the Palestinian Authority; the trending Valentine's Day hashtag, “#WeLoveYouPalestine”; and Palestinian Twitter's response to U.S. president Donald Trump's repetition of an Israeli talking point.BDSBoycott, Divestment and Sanctions movementhasbaraValentine's DayNFLPalestinian Authoritysocial mediaTwitter
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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) | 0.000 | 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".