Classification
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".
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
This research represents a discursive-comparative analysis aiming to understand the current urban neoliberal condition in the Arab world in terms of the circulating patterns of urban transformation. The research introduces and suggests a discursive framework in which various neoliberal projects could be examined and evaluated against one or more of the following indicators: urban lifestyle, emancipatory neoliberal discourse, claims to social sustainability, socio-spatial politics and dynamics, governance and place management, changing role of the state, and circulation of neoliberal practices. The research applies and benefits from a reconciliation between neo-Marxist theories of political economy and poststructuralist approaches related to the art of governance. However, in doing so it relies mostly on one body of theory, namely, neo-Marxist theories considering neoliberalism as a class project of social exclusion. The framework of analysis is applied to the following three case studies in Amman: high-end business towers, gated upper-middle class communities, and low-income housing projects. In general, these projects, despite their emancipatory rhetoric, led to geographies of inequality and urban disparities within the city of Amman.
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 | 0.000 |
| 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) | 0.000 | 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 it