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.]
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.674 | 0.503 |
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".