Bibliographic record
Abstract
In the beginning, the labourers had no importance, however, with the growth of various industries of the UT, the labour class became an important part of the society and statistics of more or less accurate nature were made available in various reports published from time to time. It was pointed out the industry provided employment to a large number of agricultural families. During the first quarter of the last century, the two silk factories of Srinagar and Jammu alone absorbed 56 per cent of the total number of labourers engaged in textile industries. The mobilization of the workers and peasants through trade union politics changed the political language of Kashmir. It became common to see red banners and flags, particularly in the city of Srinagar. With the demonstrating workers condemning their economic exploitation and demanding economic justice, a new rights-based discourse was being introduced in Kashmir, which was rapidly substituting the discourse based on religious overtones. Although there are numerous central and state govt. legislations, which are supposedly being enforced for safety and protection of labour rights, however, what is equally important is providing direction to the unorganized sector with a long-term objective of reducing unemployment. There is an immediate need to adopt globally used policies of labour economics in order to recognize the dynamics and functions of the labour markets.
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 | 0.000 | 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 | 0.001 | 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 itClassification
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".