UND professor authors new book on gender and education
Bibliographic record
Abstract
Marcus Weaver-Hightower, associate professor and chair of Educational Foundations and Research at the University of North Dakota, has published a new collection of personal essays written by some of the world's leading researchers in the field of gender and education. Edited with Christine Skelton from the University of Birmingham (England), the collection ― Leaders in Gender and Education: Intellectual Self-Portraits ― includes the professional autobiographies of 16 scholars from the United States, Canada the United Kingdom and Australia who have made substantial impacts in understanding how gender influences education at every educational level. The book is part of Sense Publishers' series Leaders in Education Studies. Weaver-Hightower was inspired to publish the collection because he always wondered how the knowledge and research questions people ask as scholars are shaped by the forces of history, politics, gender, race, social class and more. "The book provides an opportunity for these leading voices to look to the future of our field," he said. "It's always important to sometimes pause and reflect about what questions we still don't know the answers to." Weaver-Hightower focuses his research on boys because early research on gender and education almost exclusively focuses on girls. He mainly concentrates on boys' literacy skills and social problems in and out of school. Weaver-Hightower has paid particular attention to boys of color, non-heterosexual boys and boys with a lower socioeconomic status. "Schools can either be dangerous and limiting places or springboards for great futures," Weaver-Hightower said. "I want to know how we do the latter." Weaver-Hightower's areas of research and interest include: •Boys' education •Masculinity studies •Male learning across the lifespan •School food politics •Educational policy •Curriculum and Instruction •Sociology of education •Qualitative research •Critical ethnography and autoethnography •Sequential Art, Comics, & Graphic Novels Weaver-Hightower is no stranger to the authoring world. He has also written The Politics of Policy in Boys' Education: Getting Boys 'Right' (2008), and was co-editor, with Wayne Martino and Michael Kehler, for The Problem with Boys' Education: Beyond the Backlash (2009), as well as numerous journal articles. Weaver-Hightower also recently wrote School Food Politics (2011), a book co-edited with Sarah Robert of the University of Buffalo.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.065 | 0.030 |
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".