Bibliographic record
Abstract
Evolutionary psychology (EP) is reviewed as one currently popular theoretical framework to explain and predict psychological and behavioral differences between women and men. This approach has considerable promise, but there are numerous logical, theoretical, and methodological problems yet to be resolved. Social constructionism (SC) is briefly reviewed as an alternative approach that more adequately accounts for gender and sexual diversity; however it minimizes human embodiment. Both approaches deny a supernatural or spiritual dimension in creation; EP often explicitly assumes philosophical naturalism–a belief in a material universe in which evolutionary processes are random and purposeless. This assumption limits its ability to account for several aspects of the experience and the expression of human sexuality. The intelligent design (ID) approach is considered here as a possible complement to EP and SC. The key difference is foundational: ID assumes and infers the necessity of a supernatural, purposeful element. This assumption provides a broader interpretive framework and some potentially novel predictions about human sexuality. All three approaches have something to contribute to our understanding of human sexuality, and I conclude that a cautious, critical mutual engagement may enable us to transcend the dichotomies and limitations of each theoretical framework.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".