1 st prize essay contest winner The rise of “good”
Bibliographic record
Abstract
commonly held view asserts that it is impossible for free markets to foster a greater amount of equality amongst men. To the general public, it seems hard to fathom that profiteering bred by free markets might lead to anything less than a growing gap between the rich and poor. The empirical evidence seems to support the view that the gap between rich and poor has grown in the past decades. For example, the share of total income that comes from the richest 0.1 % of the Canadian population rose from below 2% in 1980 to above 5 % in 2000 (Saez and Veall, 2005). A similar but more pronounced trend has been observed in the United States where that share rose from slightly above 2 % to over 7 % in 2000 (Saez and Veall, 2005). The gap between rich and poor has indeed widened and the blame is laid on the supposed selfishness unleashed by free markets. However, we should not assume that a growing gap is a problem in itself. The real questions that we should ask ourselves are whether or not workers stay in the same income group and how choices made by individuals affect their incomes.
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.
How this classification was reachedexpand
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 | 0.000 | 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) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".