Employee Change Agents: The Foundation for Effective Organizational Change
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 specifically looks at the process of organizational change and how employees can influence the outcomes. Organizations tend to underutilize their employees during times of change. An organization is basically a collection of people with the same objectives. Ultimately, I seek to understand how an employee change agent framework can function as an essential tool for controlling and analyzing organizational change. As a manager and an instructor of management, I believe that is the employee that essentially controls the success of any change in an organization. Employees should be charged with the ability to foster positive change by management, but more so, by themselves. It is the employees responsibility to make the change work in the organization, along with making changes in themselves to help improve not only the organization, but to improve their own working behaviors. All employers should be creating a learning organization by asking their employees to become responsible members of the organization. Allow your staff to be present at the table. Also empower your staff to become more aligned with the core mission of the organization. The more your staff believes they are making a difference for the organization, the more vested, accountable, and responsible they will become.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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