Family display, family type, or community? Limitations in the application of a concept
Bibliographic record
Abstract
In this paper we develop the concept of family display by responding to David Morgan’s suggestion that researchers should consider whether ‘family displays’ are used to convey a ‘type’ of Family. We do so by applying the concept to the accounts of migrant family children living in an English city, and those of adults that grew-up in Mennonite communities in Mexico and Canada. Analysis uniquely shows that migrant family children do display a type of ‘Family’, and that this is influenced by familial constructs privileged by intended audiences. We contribute further by arguing that whilst some families do display core values attached to Family ‘types’, this is not the case in the example of the Mennonite community and researchers should be cognisant of applying this concept to all contexts. This is because the priority for display may not be the presentation of legitimate Family, but other features of collective identity.
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How this classification was reachedexpand
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 | 0.001 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".