Why Psychology is/is Not Traditional Science: The Self-Referential Bases of Psychological Research and Theory
Bibliographic record
Abstract
The hyperspecialization, fragmentation, curious faddishness of major research topics, and perceived incommensurabilities of theories and methods in contemporary psychology are often seen as a discipline-specific crisis over our status as a single, identifiable “science.” These features can, however, be understood as the contemporary expression of early discussions by Giambattista Vico and Wilhelm Dilthey on the inherently self-referential basis of psychology, based on its emergent, even paradoxical, combination of the methods of physical science with the underlying themes of the humanities. This defining tension between “explanation” and “understanding” can account for these features of ostensible disunity, along with the unique importance of “ecological validity” in empirical methodology and the roots of theory in largely implicit worldviews and the matrix of ordinary language, quite different from the explicit role of law in physical science. Current neuroscience, although exemplifying “high consensus, rapid discovery” physical science, also illustrates this broader “hermeneutic” perspective.
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.
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 | 0.016 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.084 |
| Scholarly communication | 0.014 | 0.015 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".