probteams: probteams

Description Format

Description

One row per team-problem pairing (instance of a team attempting a problem), with related attributes.

Format

team

Team name.

problem

Problem title.

probNum

Position of the problem in the sequence of problems attempted by this team in this exercise.

type

Team type. PT = Public Team; ST = Superteam; OT = Organisational Team; AA = Agency Analyst (2018 SWARM Challenge); PA = Public Analyst (2018 SWARM Challenge); GP = General Public (2018 SWARM Challenge); UT = Undergraduate Team (Psychology Capstone).

avgIC

Quality of reasoning score on the IC Rating Scale for the team’s top report. This is usually the average of independent ratings by at least 3 external raters.

nIC

Number of external raters who independently rated the report on the IC Rating Scale.

rankIC

The teams rank on this problem, when all teams who submitted a report for the problem are ranked from best to worst by avgIC. If there are ties, all tied teams receive the best (lowest integer) rank applicable.

nGeoCorrect

Number of geolocation challenges successfully solved (if applicable to the problem).

probabilityEstimate

The team’s probability estimate as stated in their top-rated report (if applicable to the problem).

tightness

The score on a tightness redaction test for the team’s top-rated report (if applicable to the problem).

nBayesCorrect

Number of Bayesian probability puzzles correctly solved (if applicable to the problem).

nFlawsDetected

Number or reasoning flaws correctly detected (if applicable to the problem).

activeUsers

The number of users who had a (strictly) positive engagement score (according to the probparts table).

textSimReports

Average pairwise cosine test similarity between all responses of type ‘report’ created by the team on the platform for this problem. Higher values indicate more similar reports. If there were no reports or only 1 report, textSimReports = 1.

textSimResponses

Average pairwise cosine test similarity between all responses (both ‘reports’ and ‘resources’) created by the team on the platform for this problem. Higher values indicate more similar reports. If there were no responses or only 1 response, textSimResponses = 1.

AOMT

Median Actively Open-Minded Thinking score for team members who were active on this problem. Missing values are excluded from the calculation.

divAOMT

Average pairwise difference in AOMT scores across all team members who were active on this problem, and for whom the AOMT score is available.

medianEdu

Median education level for the team members who were active on this problem, where education levels are encoded as follows. 1 = ‘High School’; 2 = ‘Trade or Technical Qualification’; 3 = ‘Bachelors’; 4 = ‘Graduate Certificate, Diploma or equivalent’; 5 = ‘Masters’; 6 = ‘Phd’. Missing values excluded from calculation.


Hunt-Laboratory/huntr documentation built on Sept. 27, 2020, 3:17 a.m.