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Record W2283358562 · doi:10.1080/02703149.2016.1116853

Embodied Paths in Aging: Body Journeys Towards Enhanced Agency and Self-Attunement

2016· article· en· W2283358562 on OpenAlexaff
Niva Piran

Bibliographic record

VenueWomen & Therapy · 2016
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAttunementEmbodied cognitionSense of agencyPsychologyAgency (philosophy)Competence (human resources)Life course approachConstruct (python library)Social psychologyPersonal construct theorySelfPsychology of selfGender studiesDevelopmental psychologySociologyEpistemologyMedicine

Abstract

fetched live from OpenAlex

Informed by the Developmental Theory of Embodiment, the article describes the embodied journeys of 31 women, ages 50 to 70 years, who participated in 52 life-history interviews, and delineates the implications of the theory and the research program to the practice of feminist therapy with women in older adulthood. In the domain of Physical Freedom, a core construct of the theory, the research suggests that women at these ages often seek to re-capture experiences of joyful immersion and competence in physical action as well as of moving freely and taking space in the physical territory; safety where it has been violated; and attuned comfort and agency with physical desire. In the domain of Mental Freedom, another core construct of the theory, the research suggests that women in later adulthood aim to challenge long-held constraining ‘feminine’ molds, such as inhabiting the body as an object to be gazed at and as a deficient site, caring for others at the expense of oneself, or acting demure and submissive. Older adulthood seems to be a productive phase for transformations in the way women engage with the world.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.007
Scholarly communication0.0030.003
Open science0.0000.005
Research integrity0.0010.001
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 head0.021
GPT teacher head0.290
Teacher spread0.269 · 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 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

Citations14
Published2016
Admission routes1
Has abstractyes

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