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Record W7024686897

Single-parent Families in Canada: A Positive Discourse Analysis of Non-profit Organizations' Websites

2024· article· en· W7024686897 on OpenAlexaboutno aff

Bibliographic record

VenueCINECA IRIS Institutial research information system (Parthenope University of Naples) · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsDiscourse analysisContext (archaeology)Nuclear familySemioticsFace (sociological concept)Social semioticsStigma (botany)Social distanceExtended familyPhenomenonSocial environment
DOInot available

Abstract

fetched live from OpenAlex

Family patterns have diversified considerably in the last sixty years going beyond the married nuclear family (a married couple with children) and single-parent families are a now widely recognised phenomenon and family assemblage (UN 2017). Yet, single parents face not only several financial and practical challenges, but also social stigma and stereotyping (Sussman and Hanson 1995; Zartler 2014). In the context of Canada, despite the fact that the proportion of families with children has remained rather stable over the decades, the types of families with children have changed consistently, and over one-fifth of Canadian children are being raised by a lone parent. Against this backdrop, charities and associations are supporting single parents through a series of actions to reduce social stigma and make services more accessible to them. This study specifically aims to investigate how new concepts of family are discursively construed and conveyed, to frame single-motherhood from a different and more positive perspective. Following the tradition of Social Semiotics (Kress and van Leeuwen 2021) and research on Positive Discourse Analysis (Martin 2004; Bartlett 2012), this work analyses a range of multimodal resources available on the websites of three Canadian non-profit organizations. In particular, it focuses on how single-parent families are represented assuming that the resulting discursive construal can work to eradicate persistent cultural and social stereotypes.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.607
Threshold uncertainty score0.587

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.050
GPT teacher head0.289
Teacher spread0.239 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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