The methodological affordances and challenges of using Facebook to research study abroad
Bibliographic record
Abstract
Abstract Some study abroad (SA) researchers use Facebook as a tool to reach participants or as the site or context of research. In Dressler and Dressler (2016) , we examined the linguistic identity positioning of one sojourner in Facebook posts over two sojourns. In this paper, we determine the methodological affordances and challenges of the social media site as both a tool and context of research. We conclude that for the original study, using Facebook enabled us to download large amounts of observational data and study the identity positioning over time. Throughout the data collection, analysis, and writing, we encountered challenges regarding ownership of data, the dynamic nature of Facebook over the two time periods of the study, the use of photographs, and our focus on the textual aspects of posting. From this analysis, we provide recommendations for the use of Facebook in SA research moving forward.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.264 | 0.321 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.017 | 0.029 |
| Scholarly communication | 0.020 | 0.017 |
| Open science | 0.004 | 0.017 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".