Informing relationships: small talk, informing, and relationship building in midwife-woman interaction
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
Introduction: This article analyses small or relational talk as a setting for exploring socially- and temporally-situated practices that constitute informing in a particular context.\nMethod: Transcripts of forty clinic visits between Canadian midwives and childbearing women are analysed to show how relational talk is put together and what functions it performs. Analysis. Conversation analysis is used to show how speakers establish their entitlement to background knowledge and negotiate authority to speak on various topics.\nResults: Speakers display and deploy evidence of their developing relationship in and through their talk together. They situate talk about themselves and one another in the context of the relationship to work it up as news and to frame questions so that they are understood to address new or previously known concerns. They take up previous talk as informative and use it to make claims about one another. Through making arrangements they establish a single encounter as a member of a series and orient themselves to the past and future of the relationship. They call on their previous interactions as informative to the business at hand and present themselves as informed about the relationship and about the other(s) in that relationship.\nConclusions: Small talk is a rich site for analysis. Considering an interaction as a situated member of a series rather than as an a-temporal snapshot allows for an analysis of the ways that the unfolding relationship itself becomes a resource for its members.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.006 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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