Türkiye Almanya Çin Kanada ve Singapur Öğretmenlik Meslek Kanunlarının Karşılaştırmalı Analizi
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
The teaching profession is a field of professionalism that encompasses versatile competencies and qualifications. The long-awaited teaching profession law in Turkey entered into force as of February 2022. In this study, it is aimed to compare the teaching profession laws of countries such as Germany, China, Canada and Singapore, which are shown as examples in different fields, with Turkey’s teaching profession law, which has only recently entered into force. In this study it is determined to reveal teaching profession laws common and different aspects. The data of the research were collected by the document analysis method. The results of the study were created by comparatively examining the teaching profession law prepared in Turkey and the professional laws in other countries. Three themes were revealed examining from teaching profession laws as the aim and scope, teaching profession and teaching career. In the theme of the teaching profession; seven codes were created. The codes were named as the definition of the teaching profession, the qualifications of teachers, the duties of teachers, the rights of teachers, penalties and sanctions against teachers, working time and holidays and rewards. And the last one is the teaching career theme. Teaching career theme consists of six codes as teachers' selection, wage policy, transfer (appointment), in-service training, promotion and retirement.
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) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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