Factors Influencing NGO Activities: Lithuanian Case Study
Bibliographic record
Abstract
The article aims to explore the external and internal factors influencing the activities of NGOs, in Lithuania. A qualitative empirical study was conducted (10 expert surveys) on this issue, what are the factors that help and hinder the activities of NGOs in Lithuania. The study allowed us to identify groups of factors positively influencing the activities of NGOs: human skills; infrastructure, as well as the organisation's relationship with public authorities, the hindering factors were also identified: the application of contracting authority status to NGOs; "activities in the public interest" interpretation; peculiarities of taxation of non-profit organizations; etc. The most relevant groups of NGO activity problems and related legal acts were distinguished: application of the contracting authority status to NGOs (Law on Public Procurement of the Republic of Lithuania); Interpretation of “activities in the public interest” (STI material. Peculiarities of taxation of non-profit organizations; etc. legislation); application of corporate income tax to non-profit organizations (Law on Corporate Income Tax of the Republic of Lithuania).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".