Review: the Prentif cervical cap was as effective as the diaphragm in preventing pregnancy, and the FemCap was not.
Bibliographic record
Abstract
Bu arastirmada is doyumu duzeylerine bagli olarak depresyon duzeyinin,benlik saygisi duzeyinin ve denetim odagi algisinin degisip degismedigi incelenmis;depresyon duzeyi, benlik saygisi duzeyi ve denetim odagi algisi degiskenlerikullanilarak is doyumu degiskeninin tahmini icin bir model olusturulmus ve isdoyumunun yas, mevcut iste calisma suresi, cinsiyet, evli ya da bekar olma, egitim,yapilan isin kisinin egitimi ile uyumlu olup olmamasi, dogum sirasi ve kardessayisi degiskenlerine gore farklilik gosterip gostermedigi incelenmistir.Katilimcilar Ankara’da yasayan ve farkli mesleklerde calisan 870 kisidenolusmaktadir. Arastirmada Kuzgun, Sevim ve Hamamci’nin Mesleki DoyumOlcegi, Beck Depresyon Envanteri, Rosenberg Benlik Saygisi Olcegi ve RotterDenetim Odagi Algisi Olcegi kullanilmis, ayrica kisisel bilgi formu dagitilmistir.Verilerin analizinde t-testi, tek yonlu ANOVA, Tukey testi, PearsonKorelasyon teknigi ve coklu regresyon analizinde “Enter” metodu kullanilmistir.Is doyumuyla, depresyon duzeyi degiskenleri arasinda olumsuz, benliksaygisi duzeyi degiskenleri arasinda olumlu, denetim odagi algisi degiskenleriarasinda olumsuz yonde korelasyon oldugu gorulmektedir. Dusuk, orta ve yuksek is doyumuna sahip gruplar karsilastirildiginda, is doyumu duzeyi arttikcadepresyon duzeyinin azaldigi, benlik saygisi duzeyinin arttigi, yuksek is doyumunasahip olanlarin dusuk ve orta duzeyde is doyumuna sahip olanlara gore daha ictendenetimli oldugu bulunmustur. Is doyumunun %18.42’lik kismi depresyon duzeyi,benlik saygisi duzeyi ve denetim odagi algisi degiskenlerince aciklanmaktadir.Erkeklerin is doyumu duzeyleri kadinlarinkinden daha yuksekbulunmustur. Ilkokul ve ortaokul mezunlari ile doktora egitimlilerin ortalama isdoyumu puanlari arasinda anlamli farklilik bulunmustur. Egitimleri ile uyumluisler yapanlarin digerlerine gore daha yuksek is doyumlarinin oldugugorulmektedir. Diger degiskenler icin yapilan analizlerde gruplar arasinda anlamlifarkliliklar bulunmamistir.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".