HFP303E - Asian Thought: Indian, Chinese and Japanese(Pemikiran Asia: India, Cina dan Jepun) June 2019
Bibliographic record
Abstract
Second Semester Examination 2018/2019 Academic Session June 2019 HFP303E -Asian Thought: Indian, Chinese and Japanese (Pemikiran Asia: India, Cina dan Jepun) Duration : 3 hours (Masa : 3 jam) Please check that this examination paper consists of FOUR (4) pages of printed material before you begin the examination. [Sila pastikan bahawa kertas peperiksaan ini mengandungi EMPA T (4) muka surat yang bercetak sebelum anda memulakan peperiksaan ini.] Instructions: Answer FOUR (4) questions. Answer ONE (1) question each from Sections A, B, C and D. [Arahan: Jawab EM PAT (4) soalan sahaja. Jawab SA TU (1) soalan daripada setiap Bahagian A, 8, C dan D.] You are permitted to write your answers in either English or Malay. [Anda boleh menu/is jawapan anda dalam bahasa lnggeris atau bahasa Melayu.] In the event of any discrepancies, the English version shall be used. [Sekiranya terdapat sebarang percanggahan pada soalan peperiksaan, versi bahasa lnggeris hendaklah diguna pakai.]
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 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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".