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
India’s naval growth has become noticeable since 1998, under successive BJP and Congress administrations. Echoes with Alfred Mahan’s concepts surrounding ‘seapower’ are noticeable. This study considers India’s strategic intentions, naval capability-capacity, and naval deployments. India’s strategic intentions are for a long range ocean-going fleet. Her naval capability-capacity, underpinned by rising budget allocations, includes infrastructure base development, aircraft carrier and modern warship purchase and construction, air reconnaissance and submarine programs. Her naval deployments have taken Indian naval units deep into the Indian Ocean and its littoral; with further deployments into the Gulf, the Mediterranean, the South China Sea and the Pacific. Around this drive, a significant ‘blue water’ fleet is now appearing, to establish secure Sea Lines of Communications (SLOCS) for India’s rising energy needs, to counter China’s growing blue water projection, and to match India’s general desire for a great navy to reflect its Great Power aspirations.
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 | 0.001 | 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 | 0.001 |
| 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