?ZM?R METROSUNUN KONUT F?YATLARI ?ZER?NDEK? ETK?LER?N?N HEDON?K F?YAT Y?NTEM? ?LE MODELLENMES?
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 ?al??mada ?zmir metrosu ?rne?inde, metro yat?r?m?n?n konut-yerle?im birimlerinin de?eri ?zerine etkileri incelenmektedir. Yer se?imi teorisi, bir kentte ula??m altyap?s?ndaki yat?r?m?n gayrimenkul de?erleri ?zerine kapitalize olaca??n? s?ylemektedir. Buna g?re, bir ula??m yat?r?m?, ev ile i? aras?nda gidip gelme zaman?nda ve ula??m maliyetinde azalmaya neden olmas? beklenmektedir. Dolay?s?yla, transit istasyonuna yak?n konumlanm?? gayrimenkul birimlerinin de?erinin, artan eri?ilebilirlik fakt?r?nden dolay? daha y?ksek olmas? beklenmektedir. ?al??mada hedonik fiyat modeli, ula??m yat?r?m?n?n konut fiyat?na olan etkisinin ?l??lmesinde kullan?lm??t?r. Model iki farkl? fonksiyonel form alt?nda (lineer ve log-lineer) uygulanm??t?r. Model sonu?lar? ula??m altyap?s?nda ki yat?r?m?n konut fiyatlar?n?, etki alan? i?inde artt?rd???n? g?stermektedir.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it