Selection Practices in <scp>C</scp>anadian Firms: An empirical investigation
Bibliographic record
Abstract
Using 7 years of data from S tatistics C anada's W orkplace and E mployee S urvey, this study examined the types of selection tools used with 23,639 employees in 6,693 C anadian firms. While 79% of these employees were given an interview during the selection process, only 10% were given a test on job‐related knowledge and 9% were given a personality test. Using logit analysis, job‐ and organization‐level variables were examined as predictors of the type of selection tools used. The size of the organization, an in‐house human resource department, the presence of a union and occupation were significant predictors of the use of a test on job‐related knowledge in the selection process. The implications and plausible explanations of this theory to practice gap are discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".