When students write about a text with a contested history, such as Gorski vijenac, an instructor's own opinions can influence scores in subtle ways. A paper that supports a familiar interpretation may seem more convincing than one that argues the opposite, even when the evidence is equal. This is not a sign of bad faith, but a normal feature of human judgment. Recognizing it is the first step toward limiting its effect on students.

One of the most effective safeguards is a rubric that evaluates argument and evidence separately from the conclusion. If criteria are specific, such as whether claims are supported by quoted passages and whether counterarguments are considered, the grader has less room to reward agreement. Writing descriptors in observable terms matters, because vague words like "persuasive" invite subjective reactions. A rubric built on evidence is a bias-reduction tool in its own right.

Anonymous grading is another useful practice where it is feasible. Having students submit work with an ID number instead of a name reduces the influence of assumptions about who wrote a paper, which can be significant when topics touch on identity. If your institution does not support this, simply covering the name before reading can help. Pair this with grading one criterion at a time across papers to reduce halo effects.

Practices that limit drift

Grading drift is the tendency for standards to shift over a long session, so that early and late papers are judged differently. Shuffle the order in which you read papers between criteria, so no student always lands at the tired end of the stack. Take scheduled breaks, and recheck a few early scores once you finish to see whether your standards moved. These simple habits address a source of unfairness that is easy to ignore.

• Write rubric descriptors in observable, evidence-based language
• Grade with names hidden whenever possible
• Score one criterion at a time across all papers
• Vary the reading order between passes
• Regrade a small sample at the end to check consistency

Making expectations visible to students

Students can sense when they are expected to arrive at a particular conclusion, and this discourages honest engagement. State clearly in the assignment that multiple interpretations are acceptable if they are supported by the text. Share the rubric in advance, and consider showing examples of two strong papers that reach different conclusions. This signals that rigor, not agreement, is the standard.

When a student challenges a grade, a rubric tied to evidence makes the conversation easier. You can point to specific criteria and passages instead of defending a general impression. If you discover a real inconsistency, correct it openly. This transparency builds the trust that makes students willing to take intellectual risks.

Using technology to support consistency

AI grading tools do not erase bias automatically, and they can carry biases of their own, so instructors should treat them with care. Used responsibly, however, they can apply your written criteria to every paper in the same way, regardless of the author's name or the grader's fatigue. This consistency can serve as a check against your own drift. Compare the tool's scores to your own and investigate the differences.

Regular audits matter. Sample several essays on each side of a contested interpretation and verify that equally strong arguments receive equal marks, whether from you or from a tool. If patterns of unequal treatment appear, revise the rubric language or the instructions. Treating fairness as an ongoing practice, rather than a one-time setup, is what makes it real.