MétaCan
Menu
Back to cohort
Record W7054306396

The Advocate Self of(f) Beaten Paths: Travelling Colonial Roads in Neoliberal Times

2020· other· en· W7054306396 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2020
Typeother
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPraxisPower (physics)SolidarityNarrativeArgument (complex analysis)Neoliberalism (international relations)SelfColonialismSocial justice
DOInot available

Abstract

fetched live from OpenAlex

Social work often conceptualizes advocacy as synonymous with social justice and critical praxis (Smith, 2011), which seemingly affirms the heart of the social work profession. Though many claim an advocacy role or agree that advocacy is essential to social works cause, little is known about how the advocate self is constructed, understood, and practiced. 6 self-defined, Ontario-based child and youth advocates were interviewed in this study to explore how they engage in their own self-making processes; specifically advocates for children and youth who are involved in the child welfare system. \nThis research is informed by post-structural, anti-colonial, anti-racist, and other critical theories and worldviews. It deploys a narrative approach and an analytic framework of Foucauldian discourse analysis to explore how child and youth advocates are shaped by, and in turn, shape dominant relations of power that work against, or in solidarity with children and young people towards social justice. \nFindings reveal that the roads travelled by child and youth advocates in their self-making processes are complex and ever-changing. The narratives of child and youth advocates reveal that they are both co-producers and disrupters of dominant discourses and power-knowledge systems. Additionally, it is argued that the advocate self is not a bounded self, but that it is “discursively mediated and politically situated” (Macias, 2012 p. 10). Finally, the research concludes with an argument for the necessity to historicize social justice imperatives in order to gain insight to the current tensions experienced by social justice advocates and further, opportunities for resistance.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.098
Threshold uncertainty score0.195

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0220.044
Scholarly communication0.0090.007
Open science0.0010.007
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.137
Teacher spread0.131 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueYork University Digital Library (York University)Same topicLaser Design and ApplicationsFrench-language works237,207