RUBRIC.md
Grading rubrics for AI output quality
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View allrawrubric
This rubric defines a **standardised metric** for evaluating how well a software repository implements core **kernel** and **operating‑system (OS)** primitives. It is based on the function manifest and status report from the Echo.Kern project and draws on general operating‑system principles ([Wikipedia: Kernel](https://en.wikipedia.org/wiki/Kernel_(operating_system)#:~:text=operating%20system%20%20that%20always,for%20the%20central%20processing%20unit)). The goal is to provide a repeatable method
Hook Rubric (score out of 10)
1. **Curiosity Gap (0–2)**
Sprint 1 Marking Scheme
**Team Name:** [Byte Peeps]
Sprint 0 Marking Scheme
**Team Name:** BC Hub
Criteria 1: Quality of Exploratory Data Analysis (20%) [20]
module_title: Data Science and Machine Learning
Reddit Virality Grading Rubric
This document defines the scoring criteria for evaluating Reddit post/rumour virality potential. Each attribute is scored from **0.0 (no presence)** to **1.0 (very strong)**. These scores are used by the LLM to grade injected rumours before simulation.
QualRubric
The goal of a Qualifying Exam ("qual") is for a student to *effectively demonstrate that they have the knowledge and skills that will be needed to conduct meaningful research in their chosen subfield*. There are a number of key phrases in this sentence:
! Project 3: Web APIs & NLP
In week four we've learned about a few different classifiers. In week five we learned about webscraping, APIs, and Natural Language Processing (NLP). This project will put those skills to the test.