Bibliographic record
Abstract
As long as we have a notion of a self-identity, most people have a moment in their life when they have been forced to recognise, as a result of events, that ‘I am not the same as I was, as I used to be’ (Strauss, 1959, p 95). This is the basic definition of the sociological concept of ‘turning points’ provided by Anselm Strauss in his 1959 book, Mirrors and masks: The search for identity . Since then it has been an important sociological concept for investigating identities over a lifetime in the context of an ever-changing structural, cultural and interpersonal environment. Subsequent to Strauss's work, the theoretical, methodological and empirical advances associated with the use of ‘turning points’ have been multiple, nuanced and complex. In particular, we have found that turning point, and other closely related, even overlapping concepts (such as narrative, biographical work and bifurcation) require a full-blown treatment in a collection that aims to demonstrate its enduring utility in relation to sociological accounts of life stories. Thus, this anthology uses this classical concept of turning points to understand reflexive narrations of life stories traversing organisational fields or institutions, across life events, and within diverse countries. This text provides a unique contribution to the literature in three ways: (1) it updates theoretical reflections surrounding the critical concept of turning points; (2) it integrates methodological advances in qualitative research (such as discourse analysis and interpretative methods) in relation to new empirical research; and (3) it provides an array of current international voices situated in Europe and the Americas. Theoretical, methodological and international contexts The edited collection first took shape when Feiwel Kupferberg organised two panels on turning points for the International Sociological Association meetings of September 2008, which met in Barcelona, Spain. This context brought together international scholars from the UK, Sweden, Germany, Denmark, France, Hungary, Russia, Canada, the US and Venezuela. While these distinct countries share a Western orientation, they nevertheless provide an array of structural, cultural and historically infused conditions for understanding how turning points relate to constructions of meaning by a nation's members. This text addresses increasingly globalised concerns regarding the identities and simultaneously structurating forces of gender, age, ‘race’-ethnicity, class, sexuality and religion, which are, nevertheless, grounded in the unique nations and communities that we include here.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.011 | 0.015 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.007 | 0.016 |
| Insufficient payload (model declined to judge) | 0.027 | 0.006 |
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".