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Record W6983562345

Muddle: the trouble for mothers

2016· dissertation· en· W6983562345 on OpenAlexafffund

Bibliographic record

VenueMspace (University of Manitoba) · 2016
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsUniversity of Manitoba
FundersSocial Sciences and Humanities Research Council of CanadaManitoba Arts Council
KeywordsInterrogationMeaning (existential)ExistentialismNarrativePsychoanalytic theoryIdentity (music)Meaning-making
DOInot available

Abstract

fetched live from OpenAlex

The following creative writing thesis is an artistic interrogation of various mediating affects in personal relationships, including: language; illness; cultural constraints; memory; the challenges of love, care, and communication; as well as displacement, loss, racism, and other damages from war. The interrogation is presented as a sequence of four playlets, theoretically framed by an introductory essay. Besides providing personal justification for the creative work, as well as notes on the genre, the introduction functions as a philosophically interpretive guide, offering a loosely psychoanalytic and existentialist investigation of certain problems of potential entrapment, or liberation within connotations of language and disparate meaning systems — especially pertaining to narrative identity construction. The thesis should reveal that certain conditions of existence (i.e., the inevitability of suffering, disconnection, sickness, loss, or death) are not so much changed through narrative, as the experience of events of self and other might be potentially altered, within a co-creative and malleable meaning system, in which actualized connection (in part through empathy) can provide a strong antidote to isolation.

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)0.002
metaresearch head score (Gemma)0.008
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 score0.013
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0130.006
Scholarly communication0.0050.004
Open science0.0010.005
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0100.002

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 head0.014
GPT teacher head0.207
Teacher spread0.193 · 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

Citations0
Published2016
Admission routes2
Has abstractyes

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