Analyzing Farm Accounting Skills Related to Financial Performance of Dairy Industry: An Evidence from Jordan
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 study aimed at analyzing farm accounting skills related to the financial performance of dairy industry in Jordan. A survey procedure was adopted to measure the perspective of dairy producers about their skills in farm accounting. 13 statements related to farm accounting skills were used. The farmers skills in farm accounting were measured using mean score derived from 5 point likert-scale. The statistical population of this study consisted of all dairy producers in the country and out of them 237 dairy producers selected as statistical sample. The data were collected between March 1st and June 30th 2014. The results of the study concluded that dairy farmers do not possess the necessary accounting skills related to the financial performance of their activity and needed to run their enterprise in a productive way. An empirical evidence was provided about lack of accounting skills by Jordanian dairy farmers. Paying attention to farm accounting and recognition of its importance and providing suitable executive ways to its related problems will be a vital component in developing dairy industry as well as other farming activities.
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 | 0.010 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.005 |
| Open science | 0.003 | 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