Bibliographic record
Abstract
Published each issue, this section strives to capture the tenor and content of popular conversations related to the Palestinians and the Arab-Israeli conflict, which are held on dynamic platforms unbound by traditional media. Therefore, items presented in this section are from a variety of sources and have been selected because they either have gone viral or represent a significant cultural moment or trend. A version of Palestine Unbound is also published on Palestine Square (palestinesquare.com), a blog of the Institute for Palestine Studies. Stories from this quarter (16 November 2018–15 February 2019) include the induction of the first Palestinian woman, Rashida Tlaib (D-MI), into U.S. congress; the steep public censure of a second Muslim congresswoman, Ilahn Omar (D-MN), for her criticism of the influence the pro-Israel lobbying group American Israel Public Affiars Committee (AIPAC) has over U.S. politics; and the firing of professor/activist Marc Lamont Hill for his pro-Palestinian speech at UN headquarters. Trending hastags this quarter are #TweetYourThobe, #StandWithIlhan, and #IStandWithMLH.
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 | 0.001 | 0.002 |
| 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 | 0.000 |
| 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".