Conceptualizing, Measuring, and Explaining Youths’ Relative Absence in Legislatures
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
ABSTRACT This article conceptualizes the relative absence of youth in legislatures, a feature we perceive as a democratic deficit with detrimental consequences. It introduces a new operationalization: the Youth Representation Index. Rather than calculating youths’ representation by the percentage of Members of Parliament 35 or 40 years old and younger or legislatures’ median age, we argue that scholars should assess youths’ parliamentary presence relative to their proportion of the voting-age population. We contribute by assessing the magnitude of youths’ underrepresentation across countries, finding that adults 35 years old and younger are generally underrepresented in legislatures by a factor of three and those 40 years old and younger by a factor of two. We illustrate that youths’ presence increases under proportional representation electoral systems and with candidate age requirements set at 18 years. Finally, our results illustrate that countries with a younger population display a stronger discrepancy in youth representation.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| 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