A Personal Branding Assignment Using Social Media
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 advertising industry has changed dramatically in the last few years with increasing percentages of marketing expenditures transferring from traditional channels to emerging digital and social channels. Educators need to recognize the changing needs of the marketplace and provide appropriate education to students to prepare them for this exciting new advertising environment. Recent changes to Google search results now incorporate social elements from Google + and other Google properties, introducing the concept of ‘Social Search’. Providing students with assignments that provide for realistic evaluation as well as real world value has been a challenge for educators. Fortunately, the growth of directed pay-per-click advertising through search engines as well as other social channels such as Facebook, LinkedIn, Twitter and YouTube has created an opportunity for marketing educators to incorporate direct marketing and advertising skills and assignments to provide an interactive and engaging educational environment. This article describes a personal branding assignment used in undergraduate and MBA classes that focuses on the use of social media.
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 | 0.001 | 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 | 0.002 |
| 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