Bibliographic record
Abstract
The purpose of this study was to complete a thematic analysis on ten randomly selected young adult novels published in the year 2018. Novels were selected based on the criteria of (1) being published in the year 2018, (2) age-appropriate for middle and high school students, (3) written in English and (4) not being a part of a series. The novels were published in the United States or Canada. The thematic analysis was conducted to determine recurring social issues presented in the novels that are affecting young adults. The novels examined in this study are: What If It’s Us, Swing, Unclaimed Baggage, When Elephants Fly, Meet the Sky, The Chaos of Now, A Very Large Expanse of Sea, Broken Things, Words We Don’t Say, and Sadie. This study suggested how to integrate the novels in a middle or high school setting and whether the novels could be used in a lesson or should be housed in a school library. Each novel was read, analyzed for themes, and categorized to determine main themes of the text. Every novel dealt with a different social issue including: addiction, death, loss, friendship, and school.
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 | 0.020 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".