Product
Rules and mechanisms that keep Fragments trustworthy for scholarly discourse in classrooms and cohorts.
Platform
Clear, transparent rules for quality, fairness, and meaningful engagement.
When a fragment is first published, it is evaluated first by AI and second by human reviewers (subscribed users approved to review)
When a fragment is first published, it is evaluated first by AI and second by human reviewers (subscribed users approved to review)
When a fragment passes the initial AI review it is tagged with a gold badge to demonstrate it has passed this first quality assessment step for plagiarism and validity
When a fragment passes the initial AI review it is tagged with a gold badge to demonstrate it has passed this first quality assessment step for plagiarism and validity
If the fragment does not pass this first step it is removed
If the fragment does not pass this first step it is removed
The second review is by human reviewers - if a reviewer has concerns over the fragment, that fragment is marked with a red flag
The second review is by human reviewers - if a reviewer has concerns over the fragment, that fragment is marked with a red flag
Users can hover over the red flag and a text box will appear outlining the reviewer's concerns
Users can hover over the red flag and a text box will appear outlining the reviewer's concerns
If there are three red flags the fragment is removed
If there are three red flags the fragment is removed
Reviewers cannot review themselves
Reviewers cannot review themselves
Users can comment on fragments - these comments are evaluated by AI to give a score of between -1 and +1. The comment and the score show up under the fragment. If the score is between 0 and +1, the comment is marked in green. If the score is between -1 and 0, the comment is marked in red
Users can comment on fragments - these comments are evaluated by AI to give a score of between -1 and +1. The comment and the score show up under the fragment. If the score is between 0 and +1, the comment is marked in green. If the score is between -1 and 0, the comment is marked in red
Payment (Fragments Rewards) can only be earned by educators
Payment (Fragments Rewards) can only be earned by educators
The two mechanisms of earning rewards are i) number of upvotes for each fragment published and ii) when the fragment earns a comment by another user that, on a scale of -1 to +1, is adjudged by AI to score at least +0.5
The two mechanisms of earning rewards are i) number of upvotes for each fragment published and ii) when the fragment earns a comment by another user that, on a scale of -1 to +1, is adjudged by AI to score at least +0.5