Report of the Committee on Economic Education
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The committee held the thirteenth Conference on Teaching and Research in Economic Education (CTREE) on May 29-31, 2024, at the Loews Atlanta Hotel in Atlanta, Georgia.Conference submissions reached an all-time high with 163 submissions including a mix of papers, complete paper sessions, panels, workshops, and posters.Due to space constraints, the program remained fairly constant in size, which resulted in a record low acceptance rate of roughly 55 percent.With many quality submissions to choose from, the program committee of William Bosshardt (chair), Gail Hoyt, and Scott Simkins assembled an exemplary program.The conference had 303 registered participants.Plenary talks were given by Peter Arcidiacono (Duke University), Sarah Turner (University of Virginia), and Raphael Bostic (Federal Reserve Bank of Atlanta).In addition to plenary sessions, 77 papers were presented at 19 paper sessions, 26 people participated in six panel discussions, 16 people participated in a poster session, and 13 people comprised the staff at seven practicum workshops.The 30 sessions were offered in five sets of six concurrent sessions.Nine publishers exhibited.The committee will hold the fourteenth CTREE conference on May 28-30, 2025, at the Westin Denver Downtown, in Denver, Colorado.The committee reviewed nominations for the AEA Distinguished Economic Education Award.The award acknowledges excellence in economic education at a national level.Recipients are able
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it