A development team is building a reward model for two distinct tasks: summarizing lengthy legal contracts and generating Python code snippets. They decide to use a uniform fixed-length segmentation strategy, breaking down the generated text for both tasks into 128-token chunks for human rating. Evaluate the appropriateness of this uniform segmentation strategy for these two different tasks. Justify your reasoning by considering the potential impact on the quality of the human feedback for each task.