Bibliographic record
Abstract
The economic crisis that has engulfed the world since 2007 has become serious by the first quarter of 2009.Many developed countries too are affected severely, namely the US, Germany, the UK and others. Fortunately, India as of now seems to be less affected, yet the winds of global recession are now felt. The Indian economy grew at an annual rate of 7.6% in the quarter ending in September, 2008. As per the projections of the government growth in the fiscal year, 2008-09 could be in the range of 7 to 8 %, which is, lower than 9% in the last year. The government has unveiled a multibillion dollar stimulus on 7th December, 2008 and 2nd January, 2009 respectively. The Reserve Bank of India has cut interest rates aggressively. India Inc has felt the heat of the global meltdown in the third quarter ending in December, 2008 where the income has dropped by a massive 23% points compared to the previous year. Indian manufacturing activity has contracted for the second consecutive month in December, 2008 to its lowest in more than three and half years. India’s exports too have declined by 12.1 % in October, 2008 showing a negative trend for the first time in the last five years.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".