Professional Book Reviews: Counterstories of Achievement
Bibliographic record
Abstract
This column features professional resources for literacy educators seeking to look beyond traditional assessments of academic achievement to explore alternative stories of success and achievement measured in many forms. Â The texts reviewed spotlight academic success in unexpected spaces (How It’s Being Done: Â Urgent Lessons from Unexpected Schools by Karin Chenoweth), highlight courageous leadership (The School Leaders Our Children Deserve: Seven Keys to Equity, Social Justice, and School Reform by George Theoharis), examine the role of race and culture in addressing the achievement gap (Why Race and Culture Matter in Schools: Closing the Achievement Gap in America's Classrooms by Tyrone C. Howard), and further complicate questions about whether charter school networks can improve educational outcomes for all children (Whatever It Takes: Geoffrey Canada’s Quest to Change Harlem and America by Paul Tough). Collectively these texts illuminate counternarratives of achievement and call for literacy educators to examine measures of successfully preparing young people to live productive and meaningful lives in this 21st century global society.
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 | 0.004 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.010 | 0.013 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.090 | 0.076 |
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".