ULUSLARARASI STRATEJIK ARASTIRMALAR KONGRESI (ISRC) 2022 ÖZET BILDIRI KITABI/ABSTRACT BOOK
Bibliographic record
Abstract
International Strategic Research Congress (ISRC)Manisa, Türkiye • 17–18 November 2022 • Editors: Assoc. Prof. Dr. Serkan Cura; Assoc. Prof. Dr. Hamza Kahriman • ISBN: 978-625-6379-32-9. The volume spans education and learning sciences (critical thinking for pre-service teachers; numeracy interventions; STEAM understanding and interdisciplinary integration; home–school cooperation and sense of belonging; forest education), public administration and digital government (EU e-government, adaptive management, HRM evidence from Romania, traffic management for smart cities), and economics, finance, and development (Environmental Kuznets Curve for E7 countries; taxation and equity—income tax, social-media taxation; public spending–tax revenue causality; inflation–stock price transmission in OECD; portfolio optimization; technopark firm structures; trade relations such as Türkiye–Azerbaijan; investment incentives and employment). Complementary studies address migration and policy (trade as a migration tool—Jordan Compact), disaster & insurance event studies, environmental rights/ethics, cultural heritage (Kazakhstan’s “Sacred Geography”), and international security and geopolitics (Canada’s support for Ukraine). Kitap; eğitim bilimleri (öğretmen adaylarında eleştirel düşünme; sayısal yeterlik müdahaleleri; STEAM anlayışı ve disiplinlerarası entegrasyon; okul-aile iş birliği ve aidiyet; orman/ doğa temelli eğitim), kamu yönetimi ve dijital devlet (AB’de e-devlet, uyarlanabilir yönetim, Romanya’dan İKY bulguları, akıllı kentler için trafik yönetimi) ile ekonomi, finans ve kalkınma (E7 ülkelerinde Çevresel Kuznets Eğrisi; vergi ve adalet—gelir vergisi, sosyal medya vergilendirmesi; kamu harcaması–vergi geliri nedenselliği; enflasyon–hisse senedi ilişkisi; portföy optimizasyonu; teknopark firmaları; Türkiye–Azerbaycan dış ticareti; yatırım teşvikleri ve istihdam) başlıklarını kapsar. Ayrıca göç ve politika (göç aracı olarak dış ticaret—Ürdün Mutabakatı), afet & sigorta olay analizleri, çevre hakkı ve etiği, kültürel miras (Kazakistan “Kutsal Coğrafya” projesi) ve uluslararası güvenlik (Kanada’nın Ukrayna’ya desteği) gibi konular da yer alır.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.095 | 0.051 |
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".