Bibliographic record
Abstract
This paper summarizes and discusses results from a survey conducted by the Department of Finance Canada and the Bank of Canada in July 2012 regarding an overview of investor relations (IR) and communications practices of members of the OECD Working Party on Debt Management (WPDM). The survey contained both quantitative and qualitative questions pertaining to IR, grouped into three themes: Definition and Development; Communications Strategy and Relationship Management; and Governance and Sustainability. Survey responses from 26 countries were collected and analyzed under these themes. While the extent of formalization and governance varies, all respondents with outstanding debt indicated that they perform IR activities; comments received suggest a general expansion of IR activities as the function evolves, both as a best practice and for directed, strategic purposes. Responses were collected regarding the most useful IR activities and communication methods conducted by countries, key stakeholder relationships relative to the IR function, and key challenges that include the difficulty in measuring the value of IR, particularly under changing circumstances. Despite the challenges, on-going IR is viewed as an important and effective component of the overall debt management function.
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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 | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.336 | 0.201 |
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".