Intelligence Professionals' Views on Analytic Standards and Organizational Compliance
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
In the present research, we aimed to examine the extent to which Canadian IC experts agreed with the directives for promoting analytic rigor captured in ICD 203. Although some Canadian intelligence professionals would be aware of ICD 203, Canada’s IC is not mandated to follow ICD 203, and Canada has no national equivalent to ICD 203. Thus, it would be instructive to see how IC experts view the ICD 203 elements in cases where there is no institutional pressure to agree. Moreover, we explored the factor structure of the 13 items that were used to tap attitudinal support for the ICD 203 facets. Doing so might prove useful for conceptualizing the main components of analytic rigor as currently captured in ICD 203. We also examined the extent to which these experts judged their organizations as being in compliance with the ICD 203 directives. Because the items we used to test personal agreement and organizational compliance were matched sets, we were also able to gauge where experts perceived the largest discrepancies between their professional values and their organizations’ behavior.
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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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it