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Record W4231464656 · doi:10.24124/2006/bpgub467

Parenting services for parents with fetal alcohol spectrum disorder: services in the Northern Health Region of British Columbia

2006· dissertation· en· W4231464656 on OpenAlexaffabout
Katrina Ludwig

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsFetal Alcohol Spectrum DisorderPsychiatryPrenatal alcohol exposureFetal alcohol syndromeMedicineAlcoholPsychologyFamily medicinePregnancyBiologyGenetics

Abstract

fetched live from OpenAlex

n j urn y f lfr flecti n.I t 1 lc h l p trum ring a pa i n and n ICtl n t pl r a umpti n and f ilit .P r nall , I ha e lwa d at d fl r th e nt a d n p ni ti p r epli n , but until thi wn int rna] um tion .Indi idual with A 0 imilar l the pul ati n at l rge, and th y h uld be ne ru t n urc a uitabl qualit f li[iu h a that f par nting.I d n t upp rt hildren that a i t w can and h uld pr vid erv1 c ntati , and li fl I ng in th e t interc t f th child , th parent , and th community.hi pr ~ ct pr id d m ith in ight int th n u f h w n cpt of abilit and di abilit are nme hed w ith gend r, p ert , uln rability, i lati n, ra i m , and t r type .I w uld like t pre m heart[!It thank t my M W pr j ect supcrvi r, Profe r awn Hemingwa , fl r all her time, ef[i rt, and upp rt.With a en c f hum r and en rm u pati nee, h nc uraged, r i wed, and rev iewed again my ong in g fD rt .om c mmitte memb r Profe r l n chmidt and Pr fl • r Jo-Anne Fi ke who have waited pati ntl y fl r me to fini h writing-thank y u.To my husband, John , who pent hours week , and ev ntuall y y ar waitin g for th offic to be empty of my cattering f b ok , paper , and pil e of not -T HA K Y U. To my children Amber, Je sica, and J hn-_, ric wh patientl y waited form t p k my head out of the du sty pil of re earch to rememb r they need d to be fed, nurtured, and paid attention to as well -I am glad that your dad was th re fl r yo u.Thank yo u, John.I also cannot forget to thank my variou pet for sitting with me and not making me feel bad for not walking or feeding them-I am al o glad that dad wa there for yo u too.Thank you, John.This project would not have been po ibl without the in ight, knowledge, and wisdom shared by the individual with whom I have had the great pri vileg of collaborating as a social worker in Prince George.I have walked in a wo rld o f assumption and preconceptions and did not qu tion the tatu quo-until the mom nt I had to really que tiona child removal.It was at thi point that I was[!reed to re-xamine my understanding of ability, injustice and doubl e tandard .To thi s famil y, lo t in th memory of time, thank you for bowing me anoth r per p ctive and the opportu nity to bring to light an area that i little known or under tood .

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.007
GPT teacher head0.249
Teacher spread0.242 · 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 designObservational
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
Published2006
Admission routes2
Has abstractno

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