How pluralistic is the research field on adult education? Dominating bibliometrical trends, 2005-2012
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
What the field of adult education research is and how it can be described has been a debated issue over the decades. Several scholars argue that the field today is heterogeneous, borrowing theories and methods from a range of disciplines. In this article, we take such statements as a starting point for empirical analysis. In what ways could it be argued that the field is pluralistic rather than monolithic; heterogeneous rather than homogenous? Drawing on bibliographic data of the top cited articles in three main adult education journals between 2005 and 2012, we illustrate how the citation patterns have tendencies of homogeneity when it comes to the geographical country of authorship, since the USA, UK, Australia and Canada dominate, as well as the research methods adopted, since qualitative approaches have near total dominance. Furthermore, there is a tendency to adopt similar theoretical approaches, since sociocultural perspectives, critical pedagogy and post-structuralism represent more than half of the articles in our sample. At the same time, the results of our analysis indicate signs of scholarly pluralism, for instance, in terms of authorship, since both early career researchers and established researchers are represented among the top cited publications. We conclude the article by arguing that empirical analysis of publication and citation patterns is important to further the development of reflexivity within the field, not least for early career researchers, who might benefit from knowledge about what has been recognized among peers as worth citing in recent times. (DIPF/Orig.)
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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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