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
The civil war between the Sri Lankan state and Tamil militants, which ended in 2009, lasted more than three decades and led to mass migration, mainly to India, Canada, England, and continental Europe. In Marrying for a Future , Sidharthan Maunaguru argues that the social institution of marriage has emerged as a critical means of building alliances between dispersed segments of Tamil communities, allowing scattered groups to reunite across national borders. Maunaguru explores how these fragmented communities were rekindled by connections fostered by key participants in and elements of the marriage process, such as wedding photographers, marriage brokers, legal documents, and transit places. Marrying for a Future contributes to transnational and diaspora marriage studies by looking at the temporary spaces through which migrants and refugees travel in addition to their home and host countries. It provides a new conceptual framework for studies on kinship and marriage and addresses a community that has been separated across borders as a result of war.
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.
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 | 0.000 | 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 | 0.001 | 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