Bibliographic record
Abstract
As a punishment from the Greek gods for his numerous trickeries, Sisyphus was condemned to roll an enormous rock up a hill for eternity. As he reached the top of the hill, the rock rolled back to the bottom of the hill and he had to start anew. For some pre-service teacher education students, the work involved in creating an electronic portfolio becomes a Sisyphean task. However, upon completion of the e-portfolio, the students realize that the task has become a labour of love as they spend much of their spare time fine-tuning the finished product. This chapter describes that task and the pride that they feel at the end of their time in the teacher education program. The University of Northern British Columbia Education Program’s teacher education program has relatively new but very innovative and creationary. The professors teach undergraduate and graduate courses, are actively involved in graduate student supervision, provide professional development workshops to surrounding school districts on a regular basis, and publish research articles and present research findings at learnèd conferences. Since its inception in 2002, the Education Program has submitted and had approved its Bachelor of Education program by the teacher governing agency, the British Columbia College of Teachers (BCCT). Its graduates are hired by the surrounding districts, throughout BC and Canada, and overseas. It is, without a doubt, a solid program.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.023 | 0.008 |
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".