Beyond Religious Freedom: The New Global Politics of Religion, by Elizabeth Shakman Hurd
Bibliographic record
Abstract
The international media is saturated with stories of religious violence and persecution—particularly in the Middle East. The United States has been engaged in an ongoing battle to combat this violence around the globe, often in the name of ‘religious freedom.’ The concept of religious freedom is typically portrayed as an unalloyed good—an aspiration and ideal that the international community should strive towards. Following the passing of the International Religious Freedom Act of 1998, the United States established an Office of International Religious Freedom. Canada established a similar version with its own Office of Religious Freedom in 2013. In her provocative book, Beyond Religious Freedom: The New Global Politics of Religion, Elizabeth Shakman Hurd critically examines the pursuit of religious freedom as an intrinsic good. Contrary to the prevailing narrative, Shakman Hurd provides a critique of government-led programs and policies that promote religious freedom abroad. She illustrates some of the deeply problematic consequences that occur when religious freedom is used as a tool of foreign policy, and when complex issues are defined solely in terms of religious rights and freedoms.
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 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".