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Record W2385389906

A New Form of Cooperation Between Governments and Non-profit Organizations Abroad

2012· article· en· W2385389906 on OpenAlexaboutno aff
Shi Guoliang

Bibliographic record

VenueJournal of Sichuan Normal University · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsnot available
Fundersnot available
KeywordsChinaGovernment (linguistics)CommonwealthInstitutionalisationLegislationEnlightenmentPublic administrationBusinessPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

In 1998,the Compact on the Relationship between Government and Organization of Volunteers and Communities was signed between central government and charitable organizations in Great Britain,which played an exemplary role in all other nations of the Commonwealth.In 2001,Canadian government and NPOs signed the Accord between the Government and NPOs,and later the Nation-wide Compact—Working Together was signed by Australian government and NPOs in 2010.The three agreements,as new forms of cooperation between governments and NPOs,belong to national policies and provide an international guidance for the cooperation between government and NPOs.However,the agreements are not within legislation and have no legal force.Their force comes from the governmental financial support and consultation between both sides.The new form of cooperation between governments and NPOs abroad has profoundly enlightenment for China.Following the tendency,broadening the platform,promoting the institutionalization and cultivate the trust seem to be the probable forms for cooperation between the government and NPOs in China.

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)0.008
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0070.007
Scholarly communication0.0070.007
Open science0.0010.012
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.011
GPT teacher head0.258
Teacher spread0.247 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2012
Admission routes1
Has abstractyes

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