Young Life and Times Survey, 2020-2021
Bibliographic record
Abstract
<p>The <em>Young Life and Times Survey</em> (YLT) originally began as a companion survey to the <a href="https://beta.ukdataservice.ac.uk/datacatalogue/series/series?id=2000040">Northern Ireland Life and Times Survey</a> (NILT) series. It surveyed young people aged 12-17 living in the households of adults interviewed for NILT, and YLT ran alongside it from 1998-2000. Following an evaluation in 2001, the YLT series recommenced in 2003 (see SN 4826) using a completely different methodology and independent of the adult NILT. This new YLT survey uses Child Benefit records as a sampling frame.</p><p>The aims of the YLT series are to:</p><ul> <li>monitor public attitudes towards social policy and political issues in Northern Ireland;</li> <li>provide a time series on attitudes to key social policy areas;</li> <li>facilitate academic social policy analysis; provide a freely available resource on public attitudes for the wider community of users in Northern Ireland;</li> <li>give a voice to young people.</li> </ul><p> </p><p>An open access time-series teaching dataset has been created from the 2003-2012 YLTs - see SN 7548.</p><p>The <a href="https://beta.ukdataservice.ac.uk/datacatalogue/series/series?id=2000040#!/access-data">Kids’ Life and Times</a> (KLT) survey of P7 children (10-11 year olds) is also part of the same suite of surveys as YLT and NILT.</p><p>Further information about the YLT, including publications, may be found on the Access Research Knowledge (ARK) <a title="Young Life and Times Survey" href="http://www.ark.ac.uk/nilt/ylt/index.html">YLT</a> webpages.</p> <p></p> <p class="x_x_x_MsoBodyText"><span style="font-weight: bold;">YLT 2020-21</span></p><p class="x_x_x_MsoBodyText">The YLT survey has been conducted annually since its inception. However, the exceptional circumstances of the COVID-19 pandemic in 2020 and 2021 meant that the survey field originally planned for the last quarter of 2020 had to be postponed to May 2021.&nbsp;<span>All 16-year-olds who celebrated their 16th birthday in April, May and June 2021 were invited to take part.&nbsp;</span></p>
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.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.013 |
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".