Does Interpretation in Psychology Differ From Interpretation in Natural Science?
Bibliographic record
Abstract
Following an initial discussion of the general nature of interpretation in contemporary psychology, and social and natural science, relevant views of Charles Taylor and Thomas Kuhn are considered in some detail. Although both Taylor and Kuhn agree that interpretation in the social or human sciences differs in some ways from interpretation in the natural sciences, they disagree about the nature and origins of such difference. Our own analysis follows, in which we consider differences in interpretation between the natural and social sciences (psychology in particular) in terms of Ian Hacking's use of Elizabeth Anscombe's conceptualization of actions as intentional acts under particular descriptions. We conclude that both Taylor and Kuhn are correct to point to differences in interpretation between the natural and social sciences. We also argue that in psychology, such interpretive differences, contra Kuhn and pro Taylor, are qualitative rather than quantitative. They arise from the nature of persons as self‐interpretive, reactive beings who act under socioculturally sanctioned, linguistic descriptions. The actions of psychological persons may display qualitative differences over time and across contexts as these descriptions, including social scientific and psychological findings and interpretations, change. In contrast, even when descriptions in natural science change, such changes do not spawn changes in the self‐interpretations and intentional actions of the focal phenomena of natural science. We also make the point that much current confusion surrounding interpretation in science arises from the unwarranted tendency of some commentators to treat interpretation as subjective, in ways that ignore the objective grounding of interpretation within regulated social practices, including scientific practices sanctioned by scientific communities.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".