Bibliographic record
Abstract
Living in Colombia, following your passion to pursue industrial engineering as it speaks to your project-manager soul sounds like the perfect way to begin your journey in engineering. Claudia Gomez-Villeneuve started on this path, but after her first year in school her family got the approval for their immigration to Canada. While it took her two years to resume her studies in engineering in a colder atmosphere, she did. However, she had to prove herself first before gaining admission, even if it meant calling up the university directly and speaking to Admissions. Although her journey began with industrial engineering, she had to switch to civil engineering in this new country. In this chapter, Claudia describes how she navigated school and offers tips for condensing your master’s degree to achieve more experience even though it had never been done before. Claudia also gives us some insight into how she put her project management and multitasking skills to use during her undergraduate degree as she had gotten married and had her first baby on the way. She even delves into some of the scars she had to face with her first birth and the challenges which arose in the workplace when they heard of her second pregnancy. She talks about being demoted after returning to work and then how she ensured that she got the experience to qualify as a professional engineer before she got certified. Again, Claudia led the way in asking for part-time work and explained how this helped her to balance her time between family and work. She shares some insight into how to get into a management position and what it requires from the employee (even if that means an increase in salary before you are considered!). Claudia provides us with her motivator which has helped her to push through many obstacles, including helping her to secure a management position and deciding not to leave the engineering field.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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; both teacher heads agree on what is shown here.
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".