In departments where multiple instructors teach the same unit, students in different sections may receive very different grades for similar work. A text such as Gorski vijenac, which invites a range of interpretive and historical approaches, makes this divergence especially likely. Students notice, and inconsistent grading erodes their trust in the department. Calibration is the process by which instructors align their standards so that scores mean the same thing across sections.

Begin with a shared rubric that every instructor uses for the assignment. It should include explicit descriptors at each performance level, written in observable language. Differences in emphasis can be allowed within defined limits, but the core criteria and point values should be common. Without a shared document, calibration has nothing to anchor to.

Then hold a scoring session. Select four or five anonymized sample essays that span the range of quality, and have each instructor score them independently before meeting. Compare the results, and discuss any papers where scores differ by more than a half grade. The discussion exposes hidden assumptions, such as whether a thesis must address the historical setting to earn top marks.

Turning disagreements into policy

Disagreements are valuable data, because they show where the rubric language is ambiguous. When two instructors read the same descriptor differently, rewrite it until the ambiguity is gone. Record decisions about edge cases, such as how to treat a strong paper with a significant factual error. These notes become a short guide that future instructors, including new hires, can use immediately.

• Adopt one shared rubric with common core criteria
• Score the same anonymized samples independently
• Discuss any scores that differ by more than half a grade
• Rewrite ambiguous descriptors after each session
• Record decisions on edge cases in a short shared guide

Including adjuncts and teaching assistants

Part-time instructors and teaching assistants often grade a large share of papers yet receive the least training. Include them in calibration sessions and compensate their time if possible. Provide the reference materials in advance so they can prepare. Their participation makes the whole system more consistent and communicates that their judgment matters.

Follow up during the term by spot-checking a few graded papers from each grader. Constructive feedback on grading, not just on student writing, keeps standards aligned as the semester wears on. Short check-ins at midterm are usually enough to catch drift. These practices keep calibration from becoming a one-time ceremony.

Using data to monitor consistency

After grading ends, compare the score distributions across sections. Large, unexplained differences in averages or spread suggest that the sections applied the rubric differently. This does not prove unfairness, since classes differ, but it identifies where to look. Regular review across semesters reveals trends that individual instructors cannot see.

AI-assisted grading can strengthen consistency by applying the same rubric language to every paper in every section, providing a common baseline for human graders. Departments can compare human and tool scores to identify criteria that are applied unevenly. The goal is not to automate judgment but to make the shared standard visible and testable. A department that can see its grading patterns can improve them.