The River Runs Through It: The Case for Collaborative Governance in the National Capital Region
Bibliographic record
Abstract
Canada's National Capital Region (NCR) is unique inthat it is comprised of two neighboring cities, Ottawa and Gatineau, which liein two separate provinces separated by the Ottawa River.This studyexamines the role of city-regions in the world and analyzes the influence ofpolitical and socio-economic similarities and dissimilarities on thefunctioning of the NCR. Initially, past literature regarding the impact of local governance and ofcollective action on city-regions is presented.Then, the complicationsand special circumstances attributed to border and boundary issues arediscussed. Following the discussions of previous literature, somebackground information about Ottawa and Gatineau is provided.Thehistorical and political differences and similarities of both cities arediscussed, as are the economic infrastructure and the human capital of eachcity.Within each city lie cultural and linguistic differences, whichfurther impact upon the collaborative abilities of both cities.Thecomplications resulting from a city-region's desire to be economicallyinterdependent while politically independent are examined. Among high-technology firms, the advantages of city-regional governance arebecoming more apparent and are outlined according to those advantages thatexist in the NCR.Recommendations for strengthening city-regions arediscussed. (AKP)
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.
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 | 0.000 | 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 | 0.001 |
| 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".