DRDC Technical Stream Integrated Capabilities and Vision
Bibliographic record
Abstract
Abstract : With the success of DRDC Toronto's Organizational Alignment Program and Professional Partnership Philosophy, the Technical Stream (TS) was presented with the challenge of providing a foundation for its success through the identification of their unique, integrated capabilities and the impact that they have towards achieving organizational impact. A secondary objective was to develop a TS vision statement that would be instituted within the Technical Council Charter. A project team of eight TS members, representing military and civilians from all sections, and a wide range of occupational groups and experience, developed a notional set of integrated capabilities and vision statements. These were presented to all Technical Professionals through a Town Hall meeting and published on Corporanet for review. Based on the feedback received, four current and four developing integrated capabilities and the Technical Stream vision statement were identified, and presented at the 2010 All Staff Briefing and subsequent Management Committee meeting. Based on positive reception and acceptance, a multi−phase notional roadmap was proposed to provide a strategy for future TS development. This roadmap is based on the themes of: a) upholding the Technical Profession, b) developing the Technical Professional, c) fostering a culture of collaboration and networks and 4) expanding the Technical Professional's influence. Through the identification of the TS integrated capabilities and vision statement, and way forward provided by the notional roadmap, the TS is poised to achieve greater excellence and impact towards the DRDC Toronto Mission.
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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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".