The evolution of citizen and stakeholder engagement in Canada, from Spicer to #Hashtags
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
Abstract Government‐led citizen and stakeholder engagement is undertaken with the broad aims of improving government effectiveness and strengthening perceived legitimacy for government action. However, some aspects of the digital era that are challenging and stretching these traditions include changing economics of attention, heightened expectations of citizens and stakeholders, and a reconfiguration of the nature of policymaking discourse. Seven Government of Canada citizen and stakeholder engagement cases, spread over the past 27 years, are reviewed against the emergence of digital technologies within the context of traditional engagement exercises to understand how governments are experimenting with new approaches, and how new models may still be needed to respond to this shifting technology landscape. A future research agenda is sketched that anticipates how expanding technological capabilities, changing expectations on the part of citizens and stakeholders, and new approaches to policy discourse might require a reappraisal of our concepts of citizen and stakeholder engagement.
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.
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 | 0.001 | 0.000 |
| 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 it