Bibliographic record
Abstract
Foreword - Joann Claire Silverberg A Feminist Classicist Reflects on Athena Introduction - Joan C Chrisler, Lynn H Collins and Kathryn Quina PART ONE: THE CURRENT STATUS OF WOMEN IN ACADEME Working in the Ivory Basement - Nijole V Benokraitis Subtle Sex Discrimination in Higher Education Searching for Congruity - Alberta Gloria Reflections of an Untenured Woman of Color On Overcoming Bureaucracy - Kathryn Quina A Tale of Grievance Competition and Contact - Lynn H Collins The Dynamics Behind Resistance to Affirmative Action in Academe A Woman's Search for Belonging in Academia - Chris D Erickson Be Black for Me - Ethel Morgan Smith Paying Athena - Ellin Kofsky Scholnick Statistics, Statutes and Strategies PART TWO: WOMEN'S ROLES AND CAREER DECISIONS Teacher versus Scholar - Joan C Chrisler Role Conflict for Women? The ABD Faculty Blues - Michelle R Dunlap Getting Organized for the Dissertation and Beyond Career Strategies I Stumbled Upon - Loraine K Obler Student Evaluations - Susan A Basow The Role of Gender Bias and Teaching Styles Money Matters - Suzanna Rose and Mona J E Danner The Art of Negotiation for Women Faculty PART THREE: ASSUMING LEADERSHIP IN HIGHER EDUCATION Women as Faculty Leaders - Joan C Chrisler, Linda Herr and Nelly K Murstein Women Administrators in Higher Education - Mary K Madsen Strategy Notes for the Equity Struggle - Claire Porac Women Academics in a Canadian Context Breaking the (Plexi-)glass Ceiling in Higher Education - Kathryn Quina, Maureen Cotter and Kim Romenesko Creating a Feminist Mentoring Network - Mary Zahm The Pro Forma Review That Wasn't - Anonymous PART FOUR: TAKING CHARGE AND TAKING CARE Standing up, Talking Back and Taking Charge - Bernice Lott and Lisa M Rocchio What I've Learned about Addressing Sexual Harrassment, Protecting Students and Keeping a Job - Maryka Biaggio Coping with Adversity - Linda L Carli Do Unto Others - Regina Bento La Llorona in Academe - Ester Ruiz Rodriquez Afterword - Mary Gray
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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.039 | 0.011 |
| Scholarly communication | 0.018 | 0.010 |
| Open science | 0.002 | 0.026 |
| Research integrity | 0.007 | 0.013 |
| Insufficient payload (model declined to judge) | 0.043 | 0.007 |
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".