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
Social Change has transformed societies globally through the spread of education, the evolution of formal labor markets and the new roles individuals now play in the development of their societies. Just as economic institutions have been affected so have social institutions like the family, been transformed. Urbanization has led to the disintegration of the joint family to the independent, small, nuclear family. With residential autonomy and lack of control from the joint family elders, divorce rates have been rising universally. This paper studies the trend of Divorce in Kuwaiti Society. Kuwait is an oil rich Gulf state where rapid economic development has been witnessed for over four decades. Urbanization and the Governments’ Welfare policies have helped young married couples to move to new areas and establish their homes. While social allowances for wife, children, etc were intended to help the Kuwaiti family, cope with the rising cost of living, divorce rates did not decline. Through Vital Statistics, data from the court of Justice and past research, the paper tries to examine the characteristics of those getting divorced. What factors have had an effect on this trend - education, age at marriage, women’s labor force participation? How has the State attempted to help divorced women to readjust? Modernization has led to contradictions and challenges - weakening of the family support systems, legal reforms and a new awareness of rights and duties among the two sexes. How can these changes shed light on the problem of divorce? This study attempts to explain why divorce is a problem in Kuwait and some possible solutions to reduce the negative impact of divorce on future generations.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| 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