What Do Implicit Measures Tell Us?: Scrutinizing the Validity of Three Common Assumptions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Experimental paradigms designed to assess "implicit" representations are currently very popular in many areas of psychology. The present article addresses the validity of three widespread assumptions in research using these paradigms: that (a) implicit measures reflect unconscious or introspectively inaccessible representations; (b) the major difference between implicit measures and self-reports is that implicit measures are resistant or less susceptible to social desirability; and (c) implicit measures reflect highly stable, older representations that have their roots in long-term socialization experiences. Drawing on a review of the available evidence, we conclude that the validity of all three assumptions is equivocal and that theoretical interpretations should be adjusted accordingly. We discuss an alternative conceptualization that distinguishes between activation and validation processes.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it