Publishing child development research from around the world: An unfair playing field resulting in most of the world's child population under‐represented in research
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 It has become increasingly apparent that publishing research on child development from certain countries is especially challenging. These countries have been referred to collectively as the Majority World, the Global South, non‐WEIRD (Western, Educated, Industrial, Rich, and Democratic), or low‐ and middle‐income countries. The aim of this paper is to draw attention to these persistent challenges, and provide constructive recommendations to contribute to better representation of children from these countries in child development research. In this paper, we outline the history of publication bias in developmental science, and issues of generalization of research from these countries and hence where it ‘fits’ in terms of publishing. The importance of explaining context is highlighted, including for research on measurement child development outcomes, and attention is drawn to the vicious publication‐funding cycle that further exacerbates the challenges of publishing this research. Specific recommendations are made to assist child development journals achieve their stated goals of creating a more inclusive, equitable, diverse, and global field of child development.
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 | 0.013 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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