Bibliographic record
Abstract
Autobiographical episodic memory plays a crucial role in shaping our self-identity. By recalling personally experienced events, especially those that are emotionally significant, we construct a narrative about who we are. For individuals with social anxiety, this narrative often becomes skewed, as they are more likely to ruminate over negative social memories, like instances of embarrassment or perceived rejection. Over time, this biased pattern of memory recall strengthens maladaptive self-beliefs, like “I’m awkward” or “People dislike me”, which perpetuate feelings of social anxiety. Fortunately, research suggests that intentionally recalling memories of successful or affirming social interactions may help us to see ourselves in a more adaptive, confident way. To test this, we will use HippoCamera, a validated smartphone app designed to strengthen memory recall through brief, personalized video recordings. Our study will examine whether using HippoCamera to record and replay positive social events can improve self-identity and reduce social anxiety.
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 | 0.013 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.008 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads 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".