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Record W146331341

Deployment Support - Strength through Partnership

2006· article· en· W146331341 on OpenAlexaboutno aff
Colleen Calvert, Galen E. Switzer

Bibliographic record

VenueDefense Technical Information Center (DTIC) · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsSoftware deploymentGeneral partnershipResource (disambiguation)Presentation (obstetrics)AeronauticsEngineeringManagementPolitical sciencePublic relationsBusinessOperations managementLawComputer scienceMedicine
DOInot available

Abstract

fetched live from OpenAlex

The Halifax Military Family Resource Centre (MFRC) in conjunction with the Department of Military Family Services (DMFS) presentation is an overview of the Family Separation and Reunion Program, including how this program is implemented to meet the needs of the Canadian Forces community. The Family Separation and Reunion Program is provided to family and military members when Canadian Forces members deploy for 30 days or more on exercise, or on operations such as NATO's Standing Naval Forces Atlantic. Using the recent deployment of Her Majesty's Canadian Ship MONTREAL, as a working example, this presentation highlights the exceptional relationships, the process and the benefits to these relationships between the Canadian Forces, family, Military Family Resource Centres and the Department of Military Family Services and outlines how these programs and services were developed to support the members and families of the Canadian Forces.

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)0.003
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: Other
Teacher disagreement score0.933
Threshold uncertainty score0.188

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.002
Scholarly communication0.0040.002
Open science0.0010.007
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0560.007

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 head0.023
GPT teacher head0.267
Teacher spread0.244 · 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

Citations3
Published2006
Admission routes1
Has abstractyes

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