Bibliographic record
Abstract
Tables 2.1 Three theories of public administration and governance 33 4.1 cross-fertilization potential between social innovation and sustainable development 60 6.1 Generic reclassification of innovations of microfinance 85 7.1 Some critical indicators of underdevelopment and deprivation 98 11.1 relations between governance and social innovation 160 18.1 Social creativity and social innovation in urban and rural milieus 247 18.2 Profile of the three initiatives analysed 250 18.3 'concerned entities' in 2011 253 21.1 The balingup model in summary 292 26.1 Selected socially innovative initiatives (SIIs) in the domain of education services 352 28.1 The most important innovations shaping the Québec Model in the fields studied 381 35.1 ontogenesis: ontologies as applied to theories of territorial development 470 35.2 Sociology of knowledge on social innovation and local development:illustration of the approach through three (families of) theories
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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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; both teacher heads agree on what is shown here.
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".