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Record W4376627189 · doi:10.4337/9781849809993.00005

Tables

2013· book-chapter· en· W4376627189 on OpenAlexaboutno aff

Bibliographic record

VenueEdward Elgar Publishing eBooks · 2013
Typebook-chapter
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.152
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.011
Science and technology studies0.0020.000
Scholarly communication0.0050.003
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.8480.611

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.

Opus teacher head0.035
GPT teacher head0.265
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations1
Published2013
Admission routes1
Has abstractyes

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