The Blind Men and the Elephant: A Metaphor to Illuminate the Role of Researchers and Reviewers in Social Science
Bibliographic record
Abstract
There has recently been a tremendous growth in systematic literature review methods in social science, which may create confusion as to the role of researchers and reviewers. I argue that the tale of the Blind men and the elephants is a metaphor that illuminates the elusive nature of reality and the work of both primary researchers and various types of reviewers. The value of the metaphor is illustrated with a case drawn from the field of policy and program evaluation. Despite its limitations, this metaphor may lead social scientists to reflect upon the rigor of their literature review practices.
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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 | 0.267 | 0.367 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.016 | 0.013 |
| Science and technology studies | 0.022 | 0.148 |
| Scholarly communication | 0.025 | 0.050 |
| Open science | 0.005 | 0.022 |
| Research integrity | 0.021 | 0.017 |
| Insufficient payload (model declined to judge) | 0.004 | 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".