Bibliographic record
Abstract
In today’s education, occupational (economic) life is the focus of our attention. We want every child to succeed, and this has come to mean that every child should be prepared for college and the sort of work that requires a college education. What of all the children who will become bus and truck drivers, retail sales clerks, appliance repair people, construction workers, materials handlers, heavy equipment operators, railway engineers and conductors, house painters, plumbers, bakers, farm workers, beauticians, postal workers, cooks, waiters, hotel clerks, house and office cleaners, auto mechanics and sales people, dog and horse groomers, telephone/ electric line workers, prison guards, hospital attendants, grounds keepers, maintenance workers, managers of laundromats and dry cleaning shops, installers of burglar alarms, carpet layers, window washers, steel workers, fishermen, sailors, caterers, cashiers, chimney sweeps, roofers, makers of china and glassware, decorators, musicians, florists, entertainers, moving men . . . and what would happen to our society if no one were willing to do this work? Do these people represent failures of schooling, or do we fail them when we lead them to believe that only economic success is success? Teachers and parents can lose perspective when achievement is narrowly defined. What messages are we sending students when grades, test scores, and academic achievement are the criteria for “success” during their twelve plus years of schooling? Many students who struggle in school thrive in their families, communities, and jobs once they leave school. For some, leaving school may be the first time they experience real success and a sense of personal, task- related satisfaction. As we teach them and before they leave us, have we given these “non- achieving” students hope that they will have the tenacity to excel? Confidence that they will find their path? Courage to trust their ability to figure it out? Many students struggle with undiagnosed anomalies that limit their capacity to learn school subjects. For those students whose minds cannot adjust to the “book learning” of schools, do we still communicate that we want the best for them? Do we let them know that they are worthy of our support and encouragement for their future? Do we let students know they are valued whether or not they meet our academic expectations?
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 | 0.022 | 0.066 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.016 | 0.040 |
| Scholarly communication | 0.025 | 0.029 |
| Open science | 0.003 | 0.039 |
| Research integrity | 0.004 | 0.020 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".