DCCE / Findings

Findings

Preserved research report. Consult the final study for current claims.

Preserved revision-stage report. Some manuscript pointers and version labels reflect an earlier writing stage. Use the current study and research record for the final interpretation.

Final interpretation of the completed extension

All 114 main V3 evaluations, 24 explicit year-holdout evaluations, and 30 input-matched frozen-feature evaluations are complete. See year_holdout.md for all four held-out years. These findings are exploratory; neither post-hoc best-model ranking nor three-run differences establish statistical or biological superiority.

Main findings

  • The historical 0.834 ID score and +0.380 improvement are withdrawn: the original encoder/probe partitions overlapped. The revised comparisons use shared holdouts and validation-only layer selection.
  • Simple features are strong references: raw ICI gives 0.987 ± 0.009 random-split type macro-F1, and ICI plus temporal mel gives 0.724 ± 0.039 for ID in the corrected benchmark.
  • In the uniform-sampling extension, DCCE with unit pairing and type loss gives random/grouped ID macro-F1 0.597 ± 0.051 / 0.248 ± 0.130; adding the ID objective gives 0.581 ± 0.012 / 0.223 ± 0.175. These are configuration-specific effects, not evidence for a universal benefit from an ID loss.
  • Label-free representation training (with annotated timing input) gives random/grouped ID macro-F1 0.624 ± 0.064 / 0.181 ± 0.133. Unit, type, and ID objectives must be separated when interpreting the architecture.
  • Input-matched pretrained controls, strict year holdouts, and channel diagnostics are reported separately in feature_fusion.md, year_holdout.md, and branch_probes.md. Different test support and pretraining histories limit direct generalization claims.

Paired changes

Contrast Protocol Task Mean difference ± SD Runs
16 minus 8 kHz, ID date_grouped coda_type +0.042 ± 0.064 3
16 minus 8 kHz, ID date_grouped individual_id -0.050 ± 0.047 3
16 minus 8 kHz, ID date_grouped unit +0.016 ± 0.035 3
16 minus 8 kHz, ID random coda_type -0.008 ± 0.017 3
16 minus 8 kHz, ID random individual_id +0.042 ± 0.052 3
16 minus 8 kHz, ID random unit -0.014 ± 0.018 3
16 minus 8 kHz, no ID date_grouped coda_type +0.016 ± 0.062 3
16 minus 8 kHz, no ID date_grouped individual_id +0.002 ± 0.002 3
16 minus 8 kHz, no ID date_grouped unit +0.027 ± 0.080 3
16 minus 8 kHz, no ID random coda_type +0.046 ± 0.070 3
16 minus 8 kHz, no ID random individual_id +0.034 ± 0.045 3
16 minus 8 kHz, no ID random unit +0.001 ± 0.014 3
add ICI to AVES FT date_grouped coda_type +0.139 ± 0.080 3
add ICI to AVES FT date_grouped individual_id +0.013 ± 0.021 3
add ICI to AVES FT date_grouped unit +0.015 ± 0.011 3
add ICI to AVES FT random coda_type +0.223 ± 0.064 3
add ICI to AVES FT random individual_id +0.130 ± 0.094 3
add ICI to AVES FT random unit -0.011 ± 0.009 3
add ID date_grouped coda_type -0.064 ± 0.149 3
add ID date_grouped individual_id -0.025 ± 0.075 3
add ID date_grouped unit -0.002 ± 0.026 3
add ID random coda_type -0.130 ± 0.040 3
add ID random individual_id -0.016 ± 0.060 3
add ID random unit +0.006 ± 0.024 3
same-coda minus unit pairing date_grouped coda_type +0.121 ± 0.003 3
same-coda minus unit pairing date_grouped individual_id -0.063 ± 0.075 3
same-coda minus unit pairing date_grouped unit +0.024 ± 0.221 3
same-coda minus unit pairing random coda_type +0.090 ± 0.057 3
same-coda minus unit pairing random individual_id +0.190 ± 0.025 3
same-coda minus unit pairing random unit -0.168 ± 0.026 3
swap minus whole date_grouped coda_type -0.157 ± 0.059 3
swap minus whole date_grouped individual_id -0.034 ± 0.107 3
swap minus whole date_grouped unit +0.025 ± 0.051 3
swap minus whole random coda_type -0.027 ± 0.022 3
swap minus whole random individual_id +0.076 ± 0.077 3
swap minus whole random unit -0.054 ± 0.004 3

Differences are paired by the same split/seed. SD is descriptive across three runs, not a significance test. The factorial changes sampling/augmentation relative to V2, so V2–V3 differences do not isolate one factor.

Within-unit identity probes

Each classifier is refitted within its social unit. Omitted scores have fewer than two supported identities in training or test. Macro-F1 is conditional on each stratum’s supported classes; do not pool these as equivalent populations.

random

Model Unit ID mean ± SD Valid runs
AVES_FT A 0.456 ± 0.320 3
AVES_FT D 0.333 ± 0.000 3
AVES_FT F 0.430 ± 0.033 3
AVESICIFT A 0.722 ± 0.241 3
AVESICIFT D 0.778 ± 0.385 3
AVESICIFT F 0.559 ± 0.041 3
Dual16kUTI0 A 1.000 ± 0.000 3
Dual16kUTI0 D 0.778 ± 0.385 3
Dual16kUTI0 F 0.622 ± 0.048 3
Dual16kUTI1 A 0.921 ± 0.137 3
Dual16kUTI1 D 1.000 ± 0.000 3
Dual16kUTI1 F 0.624 ± 0.010 3
Dual_U0T0I0 A 0.867 ± 0.115 3
Dual_U0T0I0 D 0.556 ± 0.385 3
Dual_U0T0I0 F 0.594 ± 0.026 3
Dual_U0T0I1 A 0.782 ± 0.209 3
Dual_U0T0I1 D 0.778 ± 0.385 3
Dual_U0T0I1 F 0.588 ± 0.071 3
Dual_U0T1I0 A 0.933 ± 0.115 3
Dual_U0T1I0 D 0.556 ± 0.385 3
Dual_U0T1I0 F 0.609 ± 0.068 3
Dual_U0T1I1 A 1.000 ± 0.000 3
Dual_U0T1I1 D 0.556 ± 0.385 3
Dual_U0T1I1 F 0.607 ± 0.075 3
Dual_U1T0I0 A 0.794 ± 0.208 3
Dual_U1T0I0 D 0.556 ± 0.385 3
Dual_U1T0I0 F 0.472 ± 0.072 3
Dual_U1T0I1 A 0.782 ± 0.209 3
Dual_U1T0I1 D 0.778 ± 0.385 3
Dual_U1T0I1 F 0.445 ± 0.063 3
Dual_U1T1I0 A 1.000 ± 0.000 3
Dual_U1T1I0 D 0.556 ± 0.385 3
Dual_U1T1I0 F 0.647 ± 0.093 3
Dual_U1T1I1 A 0.921 ± 0.137 3
Dual_U1T1I1 D 0.778 ± 0.385 3
Dual_U1T1I1 F 0.552 ± 0.030 3
DualswapUTI A 0.854 ± 0.128 3
DualswapUTI D 1.000 ± 0.000 3
DualswapUTI F 0.542 ± 0.042 3
concat_UTI0 A 1.000 ± 0.000 3
concat_UTI0 D 1.000 ± 0.000 3
concat_UTI0 F 0.629 ± 0.027 3
concat_UTI1 A 1.000 ± 0.000 3
concat_UTI1 D 1.000 ± 0.000 3
concat_UTI1 F 0.617 ± 0.043 3
rhythm_UTI0 A 1.000 ± 0.000 3
rhythm_UTI0 D 0.556 ± 0.385 3
rhythm_UTI0 F 0.549 ± 0.046 3
rhythm_UTI1 A 1.000 ± 0.000 3
rhythm_UTI1 D 0.778 ± 0.385 3
rhythm_UTI1 F 0.545 ± 0.048 3
spectral_UTI0 A 0.514 ± 0.434 3
spectral_UTI0 D 0.778 ± 0.385 3
spectral_UTI0 F 0.369 ± 0.022 3
spectral_UTI1 A 0.782 ± 0.209 3
spectral_UTI1 D 0.778 ± 0.385 3
spectral_UTI1 F 0.368 ± 0.022 3

date_grouped

Model Unit ID mean ± SD Valid runs
AVES_FT F 0.057 ± 0.030 3
AVESICIFT F 0.078 ± 0.030 3
Dual16kUTI0 F 0.283 ± 0.109 3
Dual16kUTI1 F 0.186 ± 0.121 3
Dual_U0T0I0 F 0.184 ± 0.130 3
Dual_U0T0I1 F 0.159 ± 0.054 3
Dual_U0T1I0 F 0.211 ± 0.094 3
Dual_U0T1I1 F 0.165 ± 0.071 3
Dual_U1T0I0 F 0.243 ± 0.087 3
Dual_U1T0I1 F 0.133 ± 0.040 3
Dual_U1T1I0 F 0.267 ± 0.115 3
Dual_U1T1I1 F 0.238 ± 0.153 3
DualswapUTI F 0.189 ± 0.070 3
concat_UTI0 F 0.240 ± 0.173 3
concat_UTI1 F 0.241 ± 0.046 3
rhythm_UTI0 F 0.349 ± 0.138 3
rhythm_UTI1 F 0.332 ± 0.142 3
spectral_UTI0 F 0.054 ± 0.047 3
spectral_UTI1 F 0.089 ± 0.014 3

What remains outside this pipeline

External-population validation, verified recording-session metadata, and independently excluded historical pretraining overlap are not available. No amount of rerunning these codas establishes those facts. The original numerical superiority claim is not retained. The finished paper is a reviewable research revision, not a guarantee of acceptance.