Signifying passages: the signs of change in Israeli street names
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Street names are mundane media through which the past is commemorated and introduced into the public sphere. Viewed from a semiotic perspective, street names constitute a spatial-text produced over time, capturing the political, social and cultural climates in which it is formed. In this article we propose an analysis of street names in four Israeli towns of different social, political and demographic backgrounds. The study is based on a two-stage analysis: an analysis of the local narratives and a hermeneutic reading of the street maps as spatial-texts. This is followed by a quantitative summary of street names according to categories. By studying practices of naming and renaming, and deciphering key elements in these spatial-texts, we conclude that street names reflect the changing character of the Israeli political, social and cultural orders. As such, they are indicative of shifts occurring in the social production of the Israeli collective memory.
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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 | 0.000 |
| 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) | 0.001 | 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 it