Colloque S&T Symposium 2007: Understanding The Human Dimension in 21st Century Conflict/Warfare (Comprendre la Dimension Humaine du Conflit et de la Conduite de la Guerre au XXIe Siecle)
Bibliographic record
Abstract
A record-high audience of over 200 participants took part in the 2007 S&T Symposium, held 25 & 26 April in Ottawa. This was the seventh in the series of DRDC symposia, which has now become a DND symposium with the cosponsoring between DRDC and CFD. The opening remarks by the Symposium Moderator detailed the past six symposia and noted that these had not covered the area of social science. Yet ultimately, it is this human dimension of conflict, not technological prowess that determines success or failure in operations. The purpose of this year's S&T Symposium 2007, as well as that of the symposia planned for the subsequent 2 years, is to explore the complexity of human conflict, in all of its vagaries. Understanding the human dimension in conflict, however, is complex because humans are the product of many interacting non-linear systems that give rise to many interacting non-linear behaviours. In order to better structure the effort, the Symposium will be organized along three themes that derive from the classifications of human conflict found in drama. Drama, after all, deals almost exclusively with human conflict. Drama theory distinguishes three classes of human conflict -- person-versus-person, person-versus-nature, and person-versus-self -- and militaries inevitably deal with all three. It is these classes of conflict that will inform how we address our future security environment.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.041 | 0.007 |
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 source (direct Gemma or distilled Codex), 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".