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Record W2031506009 · doi:10.1017/s0144686x08007721

Widowers' strategies of self-representation during research interviews: a sociological analysis

2009· article· en· W2031506009 on OpenAlexaffabout
Deborah K. van den Hoonaard

Bibliographic record

VenueAgeing and Society · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Ethics
Canadian institutionsSt. Thomas University
Fundersnot available
KeywordsMasculinityInterviewSymbolic interactionismPerspective (graphical)Identity (music)PsychologyGender studiesSocial psychologySociologyRepresentation (politics)Sociological imaginationSocial scienceAestheticsPoliticsAnthropology

Abstract

fetched live from OpenAlex

ABSTRACT This article analyses the strategies that older widowers used to assert their masculinity during in-depth research interviews by the author, a middle-aged woman. Twenty-six widowers living in Atlantic Canada and Florida in the United States and who were aged from 56 to 91 years participated in the study. The author analysed the interviews from a symbolic-interactionist perspective that looks at the world from the perspective of those being studied. The widowers used various strategies of impression management to reinforce their identity as ‘real men’ during the interviews. These strategies included taking charge of the interview, using personal diminutives and endearments to assert control, lecturing the interviewer about various topics including differences between men and women, and bringing attention to their heterosexuality by referring to themselves as bachelors and commenting on increased attention from women. The paper chronicles the process of discovery of the importance to the study participants of portraying themselves as men. It was found that older widowers' identity as ‘real men’ is precarious because they lack three essential components of masculinity: being in a heterosexual relationship, being employed, and being young. The article makes extensive use of the participants' quotations to demonstrate their attempts, through impression management, to maintain a masculine identity while discussing the very topics that threatened it.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.644

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.292
GPT teacher head0.583
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations12
Published2009
Admission routes2
Has abstractyes

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