The Samar Counterinsurgency Campaign of 1899-1902: Lessons Worth Learning?
Bibliographic record
Abstract
During the Philippine-American War of 1899-1902, the United States Army’s most difficult, and renowned, counterinsurgency campaign was waged on the island of Samar. The Samareño insurgents had a well developed infrastructure and were merciless with those who collaborated with the Americans. The Samarnons made extensive use of the island’s rough terrain with heavy forest cover, and raised funds from the island’s hemp merchants. The Americans defeated the insurgents by separating them from the population. This was achieved through food restrictions, a strict policy of non-neutrality forcing the people to choose between them or the insurgents, by concentrating the population in camps, by providing benefits to those who cooperated with them, and through skillful use of intelligence to dismantle the insurgent infrastructure. This campaign may have been an excellent demonstration of the principles of counterinsurgency warfare but it inflicted substantial abuses upon the Samarnons and caused long term damage to the island’s economy. Given the atrocities associated with the campaign, and its detrimental effects upon the island’s economy, one must truly wonder if it provides lessons worth learning.
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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 | 0.000 | 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) | 0.001 | 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".