Customer Voice research : aspirations and the children and young people segmentation
Bibliographic record
Abstract
Research objectivesTo explore, by segment, the aspirations of young people including how they are developed, influenced, shared and communicated.This research has provided the DCSF with insights on the aspirations of the four remaining segments of young people, following Aspirations part 1 research carried out in June 2009.These insights aim to support the development of strategic communications and relevant policy targeted at children and young people. Research methodology16, one and a quarter hour friendship paired depths (two friends per depth) with children and young people aged between 11 and 17 (Year 6 to Year 12).Eight sessions were with girls and eight were with boys.32 children and young people in total, from the following segments: • Growing and learning • Happier at home • Weakening links • Exploring independence Attitude statements were used to help recruit young people into the right segments.16 young people completed a pre task before coming to the sessions.The task involved a short journal relating to their aspirations.Research took place across England (rural, suburban and city locations) during the weeks commencing: 28 September and
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".