Regional Subnationalism in Canada and the Social Meaning of New Organisations
Bibliographic record
Abstract
The modernist view is that nationalism is the political alignment of a national culture with a state. Of particular relevance to modernist approaches to nationalism is the role of technology, including sociotechnical technologies such as organisations, in shaping nations and nationalism. This paper uses the literature of nationalism to argue that new organisations enjoying the indirect or direct support of governments have a substantial role in the development of subnational identities, especially in those subnational contexts characterised by political alienation from a national state. Subnational contexts include provinces, states, and other regional political regimes in a political relationship with a nation state. New organisations constitute a 'demonstration effect', which means that they show the benefits of an enhanced subnational culture for individuals and groups. Subnationalism is the alignment of regional economic and cultural projects with aspirations for an increase in political and economic autonomy. The case of the creation of Nova Corporation in 1954 is examined to reveal the demonstration effect within Alberta, Canada. The social effect of the new organisation, along with other public projects of its kind, was to strengthen the subnational culture and its link to the provincial state.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.024 | 0.022 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".