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
Afganistan’da meskun onemli etnik gruplardan biri olan Hazaralar, uzun zamandan beri Hazaracât adiyla da bilinen Afganistan’in merkezinde yasamaktadir. Afganistan, Asya’nin kavsaginda bulunmasi sebebiyle Asya’nin kalbi unvanini alirken, bu ulkenin merkezindeki Hazaracât ise Afganistan’in kalbi olarak adlandirilmaktadir. Hazaracât’in konumu, bir taraftan bu ulkenin jeopolitik onemiyle ozdeslesirken, diger taraftan bolgenin sakinleri icin ortak bir kultur ve kavmi miras olarak onem tasir. Hazaralarin mensei, tipki Afganistan’in diger onemli kabilelerinin mensei gibi XIX. yuzyildan itibaren tartisma konusu edilmistir. Hazaralarin Afganistan’in yerli ahalisi olduklarini ileri surenler oldugu gibi, onlari Cingiz Han veya Nikuder Mogollarinin bakiyeleri; XIII. yuzyildan itibaren Afganistan’a akan Mogol ve Turk unsurlarin bakiyeleri veya yuzyillar icerisinde bolgeye akan Turk ve Mogollarin buranin eski sakinlerinden Tacikler, Pestunlar ve diger unsurlarla karismalarindan meydana gelmis bir topluluk olarak gosterenler de vardir. Ancak son zamanlarda yapilan calismalarda Hazaralarin mensei ile ilgili yeni gorusler ortaya cikmistir. Bu calismada Hazaralarin mensei ile ilgili iddialar ve yeni gorusler uzerinde durulmustur
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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