Why Meta-Organizations Matter: A Response to Lawton et al. and Spillman
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
In a recent issue in this journal, Lawton et al. and Spillman argue for the importance of studying trade associations, also referred to with the broader term meta-organization. They discuss why meta-organizations matter and why more research is needed on the topic. We fully concur with the authors that meta-organizations constitute an inflating, diverse, and undeniable phenomenon of collective action among organizations and that collective scholarly efforts are necessary to improve our understanding of meta-organizations in their multiplicity. In this article, we shed some light on a body of work already investigating the matter. They constitute what we call the “European School” of meta-organization. We show the relevance of this recent European work for the US–UK-oriented trade association research and aim to bridge the gap between these research traditions by proposing a common research agenda on key topics of resources, forms’ differentiation, coopetition, and their role in sustainability governance.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| 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