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Record W2594137388

Current Pre- and Post-Graduate Vocational Education and Training in Laboratory Medicine and Microbiology in Poland.

2010· article· en· W2594137388 on OpenAlexaff
Mieczysław Woźniak, H Owczarek

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldMedicine
TopicClinical Laboratory Practices and Quality Control
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedical educationMedical laboratoryCertificationPharmacyGraduation (instrument)ChemistVocational educationChristian ministryMedicinePsychologyFamily medicineEngineeringChemistryPolitical scienceNursingPedagogyMechanical engineering
DOInot available

Abstract

fetched live from OpenAlex

The status of Polish medical laboratories in continuously changing. Since 2001 the legal framework was established for the clinical chemists employed in medical and microbiological laboratories. Since that time, the job performance by clinical chemists is limited only to the specialist, member of the Polish Chamber of Laboratory Diagnosticians. According to that legal act, graduate in laboratory medicine is certified to perform the professional activities in medical or microbiological laboratories without further vocational training. After graduating from biology, chemistry, pharmacy or veterinary medicine, a person can perform the job only under supervision of a certified clinical chemist. Several Medical Universities have organized the system of post-graduation education for such graduates. The main courses taught are basic pathology, internal medicine, hematology, immunology, and clinical chemistry. In addition, the Ministry of Health and Chamber of Laboratory Diagnosticians are organizing and supervising the higher level of post-graduate education for clinical chemists, the education and vocational training which leads to the title of specialist in clinical chemistry or similar area in laboratory medicine. The professional qualification of such person are evaluated during the final exam at the national level. The specialist is eligible to act as director of clinical laboratories.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.742
Threshold uncertainty score0.284

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.066
GPT teacher head0.368
Teacher spread0.302 · 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 teacher head, 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

Citations0
Published2010
Admission routes1
Has abstractyes

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