VISUALIZING IRREGULAR ADVERSARIES: APPLIED CONCEPT MAPPING IN THE MILITARY AND SECURITY DOMAIN
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
Abstract. The Socio-Cognitive Systems (SCS) Section at Defence Research and Development Canada—Toronto (DRDC Toronto) has undertaken a Technology Investment Fund (TIF) Project entitled “A Conceptual Framework for Understanding Armed Non-state Actors (ANSAs): Strategic Roles and Operational Dynamics. ” The aim of this Project is to advance our understanding of (a) the strategic roles of ANSAs in the context of violent intergroup conflict, and (b) the operational dynamics of ANSAs that facilitate the performance of these roles. To assist us in this endeavour, we have constructed a Concept Map (Cmap) of an Irregular Adversary (Insurgent) [IA(I)], derived from Canadian Army doctrine on land and counterinsurgency (COIN) operations. This “first-cut ” IA(I) Cmap will serve as the point of departure for the development of an ANSA Cmap that will provide a means to guide and manage our efforts to explore the intentions and behaviours of ANSAs the Army is liable to encounter in future expeditionary operations. 1
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 | 0.000 | 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 | 0.000 | 0.000 |
| 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