Blogging Identities on Israel/Palestine: Public Intellectuals and Their Audiences
Bibliographic record
Abstract
Abstract Drawing on our research and blogging on Israel and the Israeli-Palestinian conflict, we make three claims about the role of scholar-bloggers in the social media age. First, as scholar-bloggers with some degree of ethno-national attachments related to our area of expertise, we contend that we are well positioned to issue the kinds of critiques that may resonate more deeply due to the very subjectivity that some perceive as a liability. Second, through the melding of scholarly arguments with popular writing forms, scholar-bloggers are uniquely poised to be at the forefront of public engagement and political literacy both with social media publics and with students. Third, the subjectivity hazard is an intrinsic part of any type of research and writing, whether that writing is aimed at a scholarly audience or any other, and should not be used as an argument against academic involvement in social media. Ultimately, subjectivities of both consumers and producers can evolve through these highly interactive media, a dynamic that deserves further examination.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".