An Evolutionary Social Science? A Skeptic’s Brief, Theoretical and Substantive
Bibliographic record
Abstract
So-called grand or paradigmatic theories—structural functionalism, psychoanalysis, Marxism, rational-choice theory—provide their proponents with a conceptual vocabulary and syntax that allows for the classification and configuring of wide ranges of phenomena. Advocates for any particular “analytical grammar” are accordingly prone to conflating the internal coherence of their paradigm—its integrated complex of definitions, axioms, and inferences—with a corresponding capacity for representational verisimilitude. The distinction between Theory-as-heuristic and Theory-as-imposition is of course difficult to negotiate in practice, given that empirical observation and measurement are not entirely “theory neutral” or independent of prior analytical conceptualization. Nonetheless, the scientific cogency of any theory is ultimately evaluated by the substantive realism of its foundational assumptions and categorical designations; that is, the accuracy with which it identifies and tracks the determinant properties and processes of the phenomena to be explicated. The paradigm of sociocultural evolutionism—despite extensive revamping by contemporary proponents—does not carry warrant in this regard, as its recourse to an analytical grammar fashioned and derived from another discipline raises doubts about its empirical veridicality. This article revisits the contentious issue of remodeling social phenomena in accordance with biological categories and offers both a theoretical and a substantive critique of the “selectionist” paradigm. The transdisciplinary program of historical social science is affirmed by way of counterpoint.
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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.016 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".