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
Purpose The purpose of this paper is to examine selected findings of the 2006 CAVAL Training Needs Survey across Australia, New Zealand and Asia and to assess their implications for academic libraries in the context of generational change. Design/methodology/approach This paper compares 2006 Training Needs Survey data with previous survey data (2004 and 2005) and uses the findings to inform a range of simple strategies to assist academic libraries recruit and retain talented staff. Findings The data appears to confirm studies conducted in the US and Canada that show Generation X and Y learning styles are typically motivated by a desire to enhance professional skills and thus marketability to future employers. For many Generation X and Y staff working across a range of professions, access to professional development has become an important component of their overall remuneration package. It also figures highly in any decision to join or remain with an organisation. This paper concludes that a better understanding of generational change and commitment to professional development are critical to the recruitment and retention efforts of future academic libraries. Originality/value This paper draws upon survey data not previously available for research.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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