Standard 1: Professional Responsibility and Accountability
Bibliographic record
Abstract
A standard of practice is defined as the desired and achievable performance level against which actual performance can be judged; it provides a benchmark for evaluating acceptable performance levels. CSMLS Standards of Practice are designed to measure the accuracy and quality of individual performance and to provide the expectations associated with professionalism for medical laboratory assistants (MLAs); they represent the minimum national standards for CSMLS-certified MLAs across Canada. Employers utilize this framework to establish specific workplace responsibilities and to develop job descriptions, policies and procedures. The CSMLS Medical Laboratory Assistants Competency Profile establishes the scope of practice for CSMLS-certified MLAs; it restricts CSMLS-certified MLAs to performing only those duties specifically outlined within that competency profile. MLAs must skillfully perform laboratory procedures and must know the theory behind those laboratory analyses. They must be competent and demonstrate sound judgment. In addition, medical laboratory assistants must demonstrate appropriate professional conduct at all times.
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 | 0.053 | 0.143 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.012 | 0.010 |
| Insufficient payload (model declined to judge) | 0.019 | 0.020 |
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".