AINSWORTH'S STRANGE SITUATION PROCEDURE: THE ORIGIN OF AN INSTRUMENT
Bibliographic record
Abstract
The American-Canadian psychologist Mary Ainsworth (1913-1999) developed the Strange Situation Procedure (SSP) to measure mother-child attachment and attachment theorists have used it ever since. When Ainsworth published the first results of the SSP in 1969, it seemed a completely novel and unique instrument. However, in this paper we will show that the SSP had many precursors and that the road to such an instrument was long and winding. Our analysis of hitherto little-known studies on children in strange situations allowed us to compare these earlier attempts with the SSP. We argue that it was the combination of Ainsworth's working experience with William Blatz and John Bowlby, her own research in Uganda and Baltimore, and the strong connection of the SSP with attachment theory, that made the SSP differ enough from the other strange situation studies to become one of the most widely used instruments in developmental psychology today.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".