DETERMINATION OF NUTRITION HABITS OF STUDENTS OF THE FACULTY OF HEALTH SCIENCES
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.
Bibliographic record
Abstract
Bu aratrma, Gmhane niversitesi Salk Bilimleri Fakltesi'nde okuyan (17-30 ya; 10.7 1.7 yl) rencilerin beslenme alkanlklarnn saptanmas amacyla planlanmtr. rencilerin (n=1271) %69.6's kz, %30.4' erkektir. Aratrma verileri yz yze grme teknii kullanlarak anket formu yardm ile toplanm, aratrmaclar tarafndan hazrlanan anket formu sosyo-demografik zellikler, beslenme alkanlklar ve besin tketim skl bilgilerini iermektedir. Beden Ktle ndeksleri'ne (BK) gre; rencilerin %86.5'inin normal BK'ye sahip olduu gzlenmitir. rencilerin %71.7'sinin yurtta kald, %9.1'inin tans konulmu hastala sahip olduu, %36.6'snn beslenme eitimi ald, %96.0'nn ana n atlad, %67.0'nin en ok le nn atlad, %65.7'sinin kuluk ara nn hi tketmedii, %97.9'unun attrmalk rnler tkettii saptanmtr. Beslenme alkanlklar incelendiinde; rencilerin %52.4'nn akta satlan yiyecekleri bazen satn ald, bu rencilerin %81.8'inin bu yiyecekleri canlar istedii iin satn ald tespit edilmitir. rencilerin kola-gazl iecekler ve fast-food rnlerini en fazla haftada bir gn, srasyla %20.5 ve %26.5 orannda tkettikleri saptanmtr. Aratrmaya katlan rencilerin ana n atlama durumlarnn ve attrmalk tketimlerinin yksek olduu bulunmutur. Bu nedenle niversitelerde rencilere ayrntl beslenme eitimi verilmesi ve salkl beslenme konusunda daha ayrntl eitim programlarn oluturulmas salanmaldr.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it