Studiranje u inostranstvu i povratak u Srbiju
Bibliographic record
Abstract
Svrha studije je pregled i analiza problema i izazova sa kojima se suočavaju mladi istraživači prilikom odlaska na studije u inostranstvo i povratka u Srbiju. Studija je zasnovana na analizi sekundarnih podataka, strateškog i zakonodavnog okvira, te fokus-grupnog intervjua sa 20 mladih istraživača i diskusije tokom okruglog stola o položaju mladih istraživača u društvenim naukama. Nalazi studije ukazuju da su u Srbiji studenti često prinuđeni na mobilnost, usled niskog stepena ulaganja u naučno istraživačku delatnost i nemogućnosti usavršavanja na domaćim ustanovama. Želja za odlaskom kod mladih istraživača je veoma izražena, naročito usled loših socio-ekonomskih uslova i slabih mogućnosti za zapošljavanje i/ili napredovanje. Mladi se vraćaju u zemlju uglavnom kada moraju, zbog isticanja vize i perioda legalnog boravka u drugoj zemlji, kao i nemogućnosti pronalaska stalnog posla u inostranstvu Studija obrađuje i problem nostrifikacije diploma, koji je predstavljao veliku prepreku mladim istraživačima povratnicima. Takođe, daje se osvrt na faktore koje mlade istraživače opredeljuju na ostanak u Srbiji, gde se najviše ističu stipendije i pronalazak posla.
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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 | 0.010 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".