Institutional embeddedness and the language of accountability: Evidence from 20 years of Canadian public audit reports
Bibliographic record
Abstract
Abstract Due to the expansion of the mandate assigned to public auditors in the past decades, audit reports have become more prominent indicators of the quality of government. Accordingly, it is important to investigate the factors that shape the communication of audit findings. We suggest that while internal and legislative auditors belong to the same community of practice, they are also embedded in distinct institutional environments that incentivize them to report their findings in different ways. In particular, we hypothesize that to draw attention and mobilize support for their work, legislative auditors are encouraged to use a language that is more negative and emotive than internal auditors. Applying methods of computational text analysis to a corpus of 3245 audit reports produced in the Government of Canada between 2000 and 2019, we present empirical evidence in favor of these hypotheses. Among other things, our findings provide large‐sample evidence that despite comparable professional norms and guidance, public auditors are sensitive to their institutional context and, in response to their environment, resort to rhetorical strategies to either amplify or mitigate the reputational risks associated with their reports.
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How this classification was reachedexpand
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".