Fall 2026

Proseminar: Traditional & Early Modern Chinese Intellectual History

A proseminar examining major problems in Chinese intellectual history from the classical period to 1840 using English translations of primary and secondary sources.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

Recent recorded grades — Spring 2019: 4.00 GPA, 100.0% A/AB (n=8 letter grades); Spring 2022: 4.00 GPA, 100.0% A/AB (n=6 letter grades); Fall 2023: 4.00 GPA, 100.0% A/AB (n=9 letter grades).

Grade history

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average GPA
letter grades
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AB
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Prerequisites

Course map

Consent of instructor

  • Consent of instructor
HISTORY 700

This is a best-effort interpretation; check the catalog requirements above.

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  • Consent of instructor

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

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Calendar & sections

Fall 2026

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SectionModeEnrolled / capacityWaitlist

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Meeting source records

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Student experience

the class

Recent recorded grades — Spring 2019: 4.00 GPA, 100.0% A/AB (n=8 letter grades); Spring 2022: 4.00 GPA, 100.0% A/AB (n=6 letter grades); Fall 2023: 4.00 GPA, 100.0% A/AB (n=9 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Chinese intellectual history (classical to 1840)
  • Primary and secondary source analysis

Skills

  • Analyzing historical interpretations

Grades

Latest available · Fall 2023— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Fall 2023

More grade details Grade mix, volume & source data

Sources & history

UW–Madison

Catalog & offerings

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Student reviews

Original comments behind the course and instructor summaries.

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Grade history

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Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "b32de952821cff09423ff742a94273ec8ad773c98363f10ae0acf5b13eb208bf",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}