New interfaces between security and development: changing concepts and approaches
Bibliographic record
Abstract
"For some years the nexus of development and security has been a key conceptual and also political issue. The associated debates are wide-ranging, extending from the basic question of the relationship between development and security to the concrete interaction of military and civil actors in a given post-conflict situation. The present volume seeks to contribute to this debate by considering various dimensions of the subject." (excerpt). Contents: Mark Duffield: Human security: linking development and security in an age of terror (11-38); Necla Tschirgi: Security and development policies: untangling the relationship (39-68); Clive Robinson: Whose security? Integration and integrity in EU policies for security and development (69-92); Jakkie Cilliers: New interfaces between security and development (93-106); Ann M. Fitz-Gerald: Addressing the security-development nexus: implications for joined-up government (107-126); Stephan Klingebiel: Converging the role of development policy and security policy? New approaches in Africa (127-145).
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 | 0.016 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.010 | 0.014 |
| Science and technology studies | 0.006 | 0.113 |
| Scholarly communication | 0.026 | 0.041 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.008 | 0.015 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".