A Needs Assessment of Virtual Career Practitioners
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Like many other professionals, career development practitioners (CDPs) in British Columbia were forced to transition their services to virtual delivery at the beginning of the COVID-19 pandemic. In 2012, a BC Centre for Employment Excellence sponsored study found that among various delivery methods, virtual services were least preferred by practitioners (Neault & Pickerell, 2013). The rapid shift to virtual work in 2020, unsurprisingly, left CDPs uneasy, unprepared, and unaware of how best to move forward. This research conducted a needs assessment of CDPs through a comprehensive survey based on the new pan-Canadian competency framework (Canadian Career Development Foundation [CCDF], 2021) and nine focus groups with practitioners working with underrepresented populations in the workforce. We found a small effect of age on how difficult CDPs found the move to virtual services - older CDPs found it more difficult than younger CDPs - and numerous areas of challenge for practitioners of all demographics. This report identifies which areas and competencies of service delivery have become easier for CDPs since the move to virtual services, and which areas have become harder, supporting survey results with focus group conversations.
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.
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 | 0.002 | 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 | 0.001 | 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) | 0.003 | 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 it