The Pervasive Negative Effects of Rewards on Intrinsic Motivation: Response to
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
Our meta-analysis (this issue) clarified when rewards undermine, leave unchanged, and enhance intrinsic motivation and pointed out flaws in Cameron and Pierce’s (1994) meta-analysis. Cameron’s (2001) commentary did not reveal any problems with our meta-analysis, nor did it defend the validity of Cameron and Pierce’s. Instead, Cameron referred to a fourth meta-analysis by her group; little detail was presented about the new meta-analysis, but it appears to have the same types of errors as the first three. Cameron also presented a new theoretical account of reward effects—the fourth by her group, which sequentially abandoned the previous ones as they were found wanting. Cameron concluded again that there is no reason to avoid using performance-contingent rewards in educational settings, yet her application of the research results to education lacks ecological validity.
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 | 0.004 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.005 | 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