Bibliographic record
Abstract
Bu ?al??ma I?d?r Caferileri hakk?nda bilgi vermek, I?d?r'da ya?ayan Caferilerin Ehl-i S?nnete bak?? a??s?, I?d?r'da g?rev yapan din k?lt?r? ve ahlak bilgisi dersi ??retmenlerinin kar??la?t?klar? zorluklardan haberdar etmek amac?yla haz?rlanm??t?r. ?al??ma I?d?r'da g?rev yapt???m be? y?ll?k s?re zarf?nda dolayl? g?zlem, kat?l?ml? g?zlem, m?lakat, foto?raflama ve anket teknikleri kullan?larak tamamlanm??t?r. Tezimiz d?rt b?l?mden olu?maktad?r. Birinci B?l?mde I?d?r ilinin tarihi, co?rafi ?zellikleri, konumu, s?n?rlar? ve k?lt?rel varl?klar? tan?t?lm??t?r. ?kinci b?l?mde ise Caferi mezhebine ve Caferilerin Ehl-i S?nnet hakk?ndaki g?r??lerine yer verilmi?tir. ???nc? b?l?m ise I?d?r'da ya?ayan Caferilerin genel durumlar?n?n anlat?ld??? b?l?md?r. D?rd?nc? ve son b?l?mde de I?d?r'da g?rev yapan Din K?lt?r? ve Ahlak Bilgisi ??retmenlerinin, e?itim-??retim s?recinde kar??la?t?klar? zorluklarla alakal? anket ?al??mas?na ve de?erlendirmesine yer verilmi?tir. Sonu? olarak diyebiliriz ki?? I?d?r ili, Caferi Mezhebinin varl???n? a??rl?kla hissettirdi?i, farkl?l?klar?n zenginlik olarak kabul edildi?i, ama bunlara ra?men biraz daha ho?g?r? ve m?samahaya ihtiya? duyan g?zel illerimizden biridir. This study is prepared to give information about Caferi's of I?d?r, which is one of far-east small cities of modern Turkey. It is situated between Iran, Armania and Turkey. That is why its culture shows great variety from the rest of the country. I was a teacher in Igd?r for last five years and during this period I found an oppurtunity to observe many kinds of events, to attent their religous rituals, to interview with them, to take their photo and to prepare a questionnarie to exact meaning of their behavior. The study consists of four parts. The first one is about history of I?d?r, its geographical position, and cultural situation. Second part is about the history and basic charcteristic of Caferi sect and their views about Sunnis. The third part is about the modern situation and the problems of Caferis. The fourth and the last part consist of some evaluations related to the questionnary about the living side of the culture and morals in Igd?r from the teacher's point of view. And as a result we can say that, Igd?r is a city which makes people to think about CAFER?'s sect and their differences from Sunnis.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.108 | 0.068 |
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".