Changing publication practices and the typification of the journal article in science and technology studies
Bibliographic record
Abstract
In this article, we study the development of the STS journal article format since the 1980s. Our analysis is based on quantitative data that suggest that the diversity of various journal publication types has diminished over the past four decades, while the format of research articles has become increasingly typified. We contextualize these historical shifts in qualitative terms, drawing on a set of 76 interviews with STS scholars and other stakeholders in scholarly publishing. Here, we first portray the STS publication culture of the 1980s and early 1990s. We then contrast this with an analysis of publishing practices today, which are characterized by a much more structured research process that is largely organized around the production of typified journal articles. Whereas earlier studies have often emphasized the importance of rhetorical persuasion strategies as drivers in the development of scholarly communication formats, our analysis highlights a complementary and historically novel set of shaping factors, namely, increasingly quantified research (self-)assessment practices in the context of a projectification of academic life. We argue that reliance on a highly structured publication format is a distinct strategy for making STS scholarship 'doable' in the sense of facilitating the planning ability and daily conduct of research across a variety of levels - including the writing process, collaboration with peers, attracting funding, and interaction with journals. We conclude by reflecting on the advantages and downsides of the typification of journal articles for STS.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | MetaresearchScience and technology studies Domain: Reporting · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | MetaresearchScience and technology studiesScholarly communication Domain: Reporting · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | high |
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.072 | 0.245 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.015 | 0.013 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.021 | 0.013 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".