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Record W7132754050

[no title]

2025· article· W7132754050 on OpenAlexaff
lieva, Mariya; Bulgarian Association of Hospital and Clinical Pharmacists, Sofia, Grigorova, Velina; Bulgarian Association of Hospital and Clinical Pharmacists, Sofia, Kokudeva, Natalia; Bulgarian Association of Hospital and Clinical Pharmacists, Sofia, Grigorova, Nadezda; Bulgarian Association of Hospital and Clinical Pharmacists, Sofia, Petrova, Tatiana; Bulgarian Association of Hospital and Clinical Pharmacists, Sofia, Vatkova, Reni; Bulgarian Association of Hospital and Clinical Pharmacists, Sofia, Kavlakov, Petаr; Bulgarian Association of Hospital and Clinical Pharmacists, Sofia

Bibliographic record

VenueBulgarian Portal for Open Science · 2025
Typearticle
Language
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsCanadian Pharmacists Association
Fundersnot available
KeywordsThematic analysisPreferenceBulgarianHealth careContinuing educationQualitative researchProfessional development
DOInot available

Abstract

fetched live from OpenAlex

The aim of this study is to analyze the attitudes, preferences, and thematic interests of hospital and clinical pharmacists in Bulgaria regarding continuing professional education and engagement in scientific research activities. A mixed-method quantitative and qualitative approach was employed through an anonymous online survey targeting pharmacists working in hospital settings nationwide. The data analysis revealed a high level of motivation to participate in educational initiatives, with a notable preference for hybrid learning formats that combine the advantages of face-to-face and online education. Respondents’ thematic interests span a broad range of clinical, regulatory, and interdisciplinary topics, underscoring the need for an integrated and comprehensive approach in developing educational programs. Furthermore, open-ended responses highlight key demands for accessibility, practical relevance, institutional recognition, international exchange of experience, and the establishment of platforms for scientific communication. The findings provide a valuable foundation for optimizing continuing education strategies and strengthening the professional role of hospital pharmacists within the Bulgarian healthcare system.

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 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)0.015
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.506
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.007
Science and technology studies0.0050.005
Scholarly communication0.0050.009
Open science0.0110.007
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.153
GPT teacher head0.491
Teacher spread0.338 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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