Case Study Method in Human Resource Development: Reviewing the Research Literature
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
This paper is written with a novice social science (management, education, public administration, public policy, and human resource development etc.) researcher in mind at the graduate or doctoral level. A case study research design has been made in this paper for a human resource development (HRD) project after extensively reviewing the research literature. This paper is useful for researchers who are looking for a case study research design plan based on a real-world example that can be adapted to their specific research. The paper is based on a research titled, “Faculty Engagement in Professional Development: A Bangladesh Case Study”. It explains a rationale for the use of case study method in an HRD project, followed by the research questions, the research methods and procedures. The paper also debates on sampling issues, data types, research instruments, data organization and cleaning, data analysis using and issues of validity and reliability. The paper concludes with a discussion on limitations and delimitations.
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 | 0.016 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it