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
The general objective of this study is to examine the audit component of human capital management in Nigerian organizations, as a public sector analysis.A specific objective of the work is to make recommendations on the way forward in the effective application of human capital audit as a mechanism of human capital management in the generic Nigerian public sector.Secondary sources of data were utilized in our analysis.Consequently, the work found a very strong linkage between the substandard audit component of human capital management in the country's public sector and the generic dearth of accountability in the Nigerian system.The dual-pronged recommendations of the study are in the following regards.The institution by all public sector organizations in the country an accounting information system that is interactive with the public, to enable the Nigerian tax payers make contributions on how these organizations meet or fail to meet the citizens' needs.Furthermore, the paper recommends the democratization of access to the career data of all public sector individuals in the country, irrespective of ranks, as a mechanism of keeping specific administrations and management organs (in the public sector) on their toes, to reduce the deficiencies in their human capital audit functions.
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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.997 | 0.997 |
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