Child Abuse and Neglect, Emotion Processing, Demographic Factors
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 2014, a study was published that examined the relationship between childhood abuse and neglect and emotion processing in adulthood. The results indicated a correlation between child abuse and decreased emotion processing. However, this previous study is limited to a specific time period, geographical location, and socioeconomic class. To explore the generalizability of this study, I propose conducting a similar study but with slightly different demographic characteristics: in the year 2022, in Canada, and with participants from higher socioeconomic status. My proposed methodology includes several measures that account for the variables of interest – child abuse, emotion processing, depression, anxiety, and PTSD as well as demographics. My study will use a regression model to analyze the results to compare the findings to that of the original study. The purpose of my study is to test whether or not the original findings about child abuse and emotion processing are generalizable in the context of other demographic factors. My proposed study will encourage further culturally-based research on this topic.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.008 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 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