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Record W4415277213 · doi:10.37193/bs-ppm.25.32

The Effects of Legislative Changes in the Field of Education on Academic Performance in Romania

2025· article· W4415277213 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBULETIN ŞTIINŢIFIC SERIA A Fascicula Pedagogie-Psihologie-Metodică · 2025
Typearticle
Language
FieldDecision Sciences
TopicEducation, Management, Technology, Human Resources
Canadian institutionsScience North
Fundersnot available
KeywordsLegislatureRomanianNormativeContext (archaeology)Relevance (law)Quality (philosophy)Field (mathematics)Higher education

Abstract

fetched live from OpenAlex

The article examines the implications of legislative changes in the field of education on academic performance in Romania through a conceptual and normative analysis. In the context of a constantly changing legislative framework, educational reforms have aimed both to adapt to European standards and to respond to the internal needs of the education system. The paper aims to highlight how legislative changes influence the quality of education, assessment processes and human resource training, emphasising both the opportunities and risks associated with these transformations. The analysis focuses on the relationship between educational policies and academic performance, emphasising the importance of a coherent and sustainable approach to reforms that ensures equity, relevance and efficiency in contemporary Romanian education.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.027
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.569
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.006
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0070.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.051
GPT teacher head0.418
Teacher spread0.367 · 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