MIND THE GAP: EXPECTATIONS AND EXPERIENCES OF CLIENTS UTILIZING JOB‐TRAINING SERVICES IN A SOCIAL ENTERPRISE
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
ABSTRACT This paper offers an underexplored perspective of social impact assessment by integrating clients’ evaluation of the impact of job‐training and skills‐building programs. Drawing on the literature of ‘ met expectations ’, we investigate the personal and social impact, beyond job placement, of job‐training and skills‐building programs provided by a Canadian social enterprise from the perspective of the clients. Utilizing data from a pre‐test/post‐test quasi‐experiment, we assess the differences, between program participants as compared to a control group of nonparticipants, on several measures. Findings illuminate the gap between expectations and actual experiences, and point to the importance of integrating the clients’ perspective. Such measures enable leaders of social enterprises to account for the often neglected intangibles of their social missions.
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 | 0.001 | 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) | 0.000 | 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 it