Living with Anxiety: A Podcast Book Review of Dr. Catherine M. Pittman’s Rewire Your Anxious Brain: How to Use the Neuroscience of Fear to End Anxiety, Panic, and Worry
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
This podcast reviews the book Rewire Your Anxious Brain: How to Use the Neuroscience of Fear to End Anxiety, Panic, and Worry co-authored by psychologist Dr. Catherine M. Pittman. Abstract: This book review will outline and analyze the core topics Dr. Pittman discusses, including the neuroscience behind anxiety production and where anxiety originates, to ultimately answer how rewiring the brain can help to prevent anxiety and its distressing effects. Discussing anxiety in the student experience, this analysis is situated locally and examines how resources at the University of Windsor implement anxiety prevention and rewiring techniques into services offered for students living with anxiety. Areas for improving the resources and support available for students living with the effects of an anxious brain will also be discussed. This book review will integrate into its analysis the United Nation's SDG 3, Good Health and Wellbeing, which aims to "ensure healthy lives and promote wellbeing for all at all ages" (United Nations). Anxiety is a fear response that can have debilitating, long-term effects on individuals; thus, to promote good health and wellbeing in one's life, rewiring the parts of the brain that overproduce anxiety is essential.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 it