A Victim of Circumstance: The Timber Bill of 1772 and the East India Company
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
In 1771 a bill was brought before the British Parliament to limit the tonnage o f East India Company ships. The Admiralty claimed that construction of the large trading vessels consumed vital and dwindling supplies of English oak required by the Royal Navy. After convening for a year, the Committee organized to investigate the "timber" bill reported that the Company was not solely responsible for the shortage of timber. However, by 1772 the Company was in serious financial difficulty. In the face of mounting pressure for government control of the Company, the timber bill became another vehicle in t he debate of whether the Crown or the Company should control India. Although passed, the timber bill had less to do with the merits of preserving vital oak for the Royal Navy than it did with efforts to limit the powers of the East India Company.
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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 | 0.011 | 0.062 |
| Scholarly communication | 0.002 | 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