Unveiling videos: Consumer‐generated ads as qualitative inquiry
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
Abstract Companies spend millions of dollars researching consumers, consumer attitudes to brands, and consumer uses of products. Yet the irony is that consumers are now doing this research themselves and posting their material to video‐sharing sites such as YouTube. In this paper we argue that the BASIC IDS framework (Cohen, 1999 ) for dimensional qualitative research can be used to deconstruct consumer‐generated videos to yield valuable insights into the paradoxes of consumer–service interactions. One category of service that has gained huge media attention of late, and yet is poorly understood, is the phenomenon of online social networks. Using three consumer‐generated ads about the social networking site Facebook, we explore the paradoxes of consumer–service interaction, namely consumers' ambivalent attitudes to the service, how the consumer uses and is used by the service, how the service both facilitates behavior and changes behavior, and how the service mediates social interactions yet drives social actors. Finally, we locate the findings in terms of the wider context of Gen Y and the digital revolution, specify limitations, and cite implications and avenues for future research. © 2011 Wiley Periodicals, Inc.
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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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