Analysis Of Employment In Social Enterprises In Northern Russia And Comparison With Sectors Of Canadian Economy (Recent Situation And Evolution)
Bibliographic record
Abstract
The main purpose of the paper is to analyze Canada’s practices in social enterprise support in terms of relevance of their application in northern Russia. The topicality of the paper is determined by a need in new approaches and practices in solving the pending social and economic problems of the Russian territories in severe climatic conditions. Institutional and coevolutionary approaches used in the research were illustrated by the situation in Quebec province. At the first stage, four criteria of institutional approach were applied: state regulation, financial, educational, and infrastructural support. At the second stage, a developed system of support for socially oriented business in Quebec province was examined in terms of the coevolutionary model’s principles relevant for the modern needs of northern Russia. The analysis showed that Quebec’s policy assisting the social economy enterprises includes the measures with all parameters of coevolutionary model: acknowledgement of population’s needs in social services, implementation of self-regulating principles for social entrepreneurs, delegation of some public services to the social entrepreneurs, a high level of interaction between the state institutes and social entrepreneurs.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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 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".