A RESEARCH ON THE ANALYSIS OF MERGER OF SBI WITH ITS 5 ASSOCIATE BANKS AND BHARTIYA MAHILA BANK
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 most recent and largest merger in the history of banking industry took place on 1 April, 2017. State Bank of India merged with its 5 associate banks namely State Bank of Bikaner and Jaipur (SBBJ), State Bank of Hyderabad (SBH), State Bank of Mysore (SBM), State Bank of Patiala(SBP), State Bank of Travancore(SBT) and Bharatiya Mahila Bank. Shares of State Bank of India (SBI) and its listed associate banks (State Bank of Bikaner, State Bank of Mysore and State Bank of Travancore) gained 3-13 percent on the back of approval from the cabinet for their merger. The merger will bring nearly a quarter of all outstanding loans in India’s banking sector to SBI’s books. With this step SBI has entered into the list of top 50 global banks. However, there were many imponderables involved in this big merger, like, employees issues related with redeployment or loss of jobs, transfers, new working conditions, increased working hours, etc.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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