Registered Reports: Genre Evolution and the Research Article
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 research article is a staple genre in the economy of scientific research, and although research articles have received considerable treatment in genre scholarship, little attention has been given to the important development of Registered Reports. Registered Reports are an emerging, hybrid genre that proceeds through a two-stage model of peer review. This article charts the emergence of Registered Reports and explores how this new form intervenes in the evolution of the research article genre by replacing the central topoi of novelty with methodological rigor. Specifically, I investigate this discursive and publishing phenomenon by describing current conversations about challenges in replicating research studies, the rhetorical exigence those conversations create, and how Registered Reports respond to this exigence. Then, to better understand this emerging form, I present an empirical study of the genre itself by closely examining four articles published under the Registered Report model from the journal Royal Society Open Science and then investigating the genre hybridity by examining 32 protocols (Stage 1 Registered Reports) and 77 completed (Stage 2 Registered Reports) from a range of journals in the life and psychological sciences. Findings from this study suggest Registered Reports mark a notable intervention in the research article genre for life and psychological sciences, centering the reporting of science in serious methodological debates.
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 | 0.002 | 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 | 0.001 | 0.003 |
| 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