Bibliographic record
Abstract
Indian society is drastically changing after globalisation. In this era different forms of difference have come to the foreground in relation to identity politics, gender, minorities rights, indigenous peoples, and ethnic and religious movement. The lower and weaker section of society has to be the worst sufferers as they will not get jobs. Consequently the income gap between lower and upper level of society is bound to rise and this, along with consumerism, and its demonstration over modern electronic means of communication, will lead to crimes, anarchy and destruction of social harmony and equilibrium. On the other the role of government is changing as we witness a fragmentation of policy responsibility in society in which the traditional mechanism of government control are no longer workable or even appropriate. It challenges the traditional relationship between economy and state. The globalised market system stretches beyond the political authority of any single government. Faced with a network of connections that escape their power of surveillance or regulation, national governments have become increasingly unequal to providing the legal, monetary, or protective functions that are their contribution to a well divided loyalties -on the one hand eager for its firms to maximize revenues, which are subject to national taxation, on the other hand, reluctant to see employment or research capabilities that it wants as part of its national economic strength located in a competitive national entity. As the globalization is a necessary evil affecting the entire system of today’s state by the analysis of Indian state system the paper aims to draw world attention towards the challenges / problems of other developing countries who are losers in this frame work due to reasons more than one. Thus it is beneficial as well as relevant not only for any particular country of region but for across the globe.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.009 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".