Bibliographic record
Abstract
<h4><strong>Please click <a href="~/link.aspx?_id=6422DFBFBE324E648A6D22BDB780DFB5&amp;_z=z">here</a> to read the letter to the editor.</strong> </h4> <h4>EXCERPT </h4> <p>The eagle represents strength, vision, and endurance; unaffected by the storms, it soars above. How is it that some children bounce back from adversity and persevere through difficult times? In one word: resiliency. In addition, how does a child&rsquo;s resiliency align with cognitive-behavioral therapy (CBT), while remaining true to culturally competent care of a child with traditional Native American roots? This article will explore this and address the bridging of traditions with the Western world of therapy. </p> <h4>ABOUT THE AUTHOR</h4> <p>Ms. Engel is Clinical Specialist, Child and Adolescent Psychiatric and Mental Health Nursing, True North Solutions, Bismarck, North Dakota. </p> <p>The author discloses that she has no significant financial interests in any product or class of products discussed directly or indirectly in this activity, including research support. </p> <p>Address correspondence to Bonnie Engel, MSN, RN, APRN, BC, CNS-Psychiatric, Clinical Specialist, Child and Adolescent Psychiatric and Mental Health Nursing, True North Solutions, 418 North Second Street, Bismarck, ND 58501; e-mail: <a href="mailto:truesolutions@qwest.net">truesolutions@qwest.net</a>.</p>
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.048 | 0.018 |
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 source (direct Gemma or distilled Codex), 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".