On the (Ir)Relevance of Psychological Research: Students versus Scientists and Implications for Teaching
Bibliographic record
Abstract
Research articles are widely used in the training of undergraduate students. Editors and reviewers of the top scientific psychology journals influence the development in the field by publishing certain articles and rejecting others, probably assuming that the published articles are empirically sound and theoretically highly relevant. The current study investigated if published articles are indeed regarded as relevant by a sample of 393 psychology undergraduate students from a university in the Southeast of the United States. The students’ age ranged between 18 and 57 (M = 23, SD = 6.05) and 84% were female. Students received brief statements about potential research studies and rated them regarding relevance, not knowing that the summaries were from actual research studies published in peer-reviewed journals. Results showed that (1) overall, research articles were regarded as generally irrelevant, (2) applied articles were regarded as more relevant than basic research articles, (3) ratings did not differ based on gender or age, and (4) the more advanced students were in the Psychology program, the higher their relevance ratings were for applied research as compared to basic research. Results are comforting or disturbing; comforting, because students might not have the professional expertise to make such relevance judgments; disturbing, because results might indicate how specialized and insulated journals have become by not addressing topics relevant to a wider population. Results also have implications for teaching research methods and experimental psychology courses.
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How this classification was reachedexpand
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 | 0.109 | 0.471 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.007 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".