Motivations of choosing archival studies as major in the iSchools: viewpoint between two universities across the Pacific Ocean
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 This study explores the learning and career motivation of the students who have chosen archival studies as their major in their master's degree programs, which has scant prior research. Design/methodology/approach The authors use a qualitative interview method to investigate the students' opinions and underlying reasons. Nine students from the University of Hong Kong (HKU) and University of British Columbia (UBC), both members of the iSchools, were interviewed. Considering the responses and research questions, the authors applied content analysis techniques to summarize data gathering from interviews into five themes to better interpret the meanings behind them. Findings Despite different development stages of archives sectors in Hong Kong and Canada, the learning and career motivation factors of these students from both universities share some similar characteristics and can also be divided into intrinsic factors (such as personal interests, personalities) and extrinsic factors (such as prior working experience, working environment, nature of archives work and development of the archives field). Both intrinsic and extrinsic factors significantly influenced them in choosing archival studies as major in their graduate studies. Practical implications These findings can help educators and professions review and improve the curricula as well as promote the profession to the public and attract more people to pursue their studies in the archives field. Originality/value Scant studies discussed the career development and education motivation of archivists, especially related to Asia.
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 | 0.000 |
| 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) | 0.000 | 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