Correcting the record on Watson, Rayner, and Little Albert: Albert Barger as “Psychology’s lost boy”.
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
In 1920, John B. Watson and Rosalie Rayner attempted to condition a phobia in a young infant named "Albert B." In 2009, Beck, Levinson, and Irons proposed that Little Albert, as he is now known, was actually an infant named Douglas Merritte. More recently, Fridlund, Beck, Goldie, and Irons (2012) claimed that Little Albert (Douglas) was neurologically impaired at the time of the experiment. They also alleged that Watson, in a severe breach of ethics, probably knew of Little Albert's condition when selecting him for the study and then fraudulently hid this fact in his published accounts of the case. In this article, we present the discovery of another individual, Albert Barger, who appears to match the characteristics of Little Albert better than Douglas Merritte does. We examine the evidence for Albert Barger as having been Little Albert and, where relevant, contrast it with the evidence for Douglas Merritte. As for the allegations of fraudulent activity by Watson, we offer comments at the end of this article. We also present evidence concerning whether Little Albert (Albert Barger) grew up with the fear of furry animals, as Watson and Rayner speculated he might.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.006 |
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